Meet the exceptionally talented students who have joined us to
tackle some of humanity's most enduring problems

Ipshita is a Predoctoral Researcher in Economics at EIT. In her role, Ipshita contributes to research in the macroeconomics of ageing and longevity as well as the measurement and valuation of health. Before joining EIT, Ipshita earned BA degrees in Applied Mathematics and Economics from the University of California, Berkeley. During her time there, she held Research Assistant positions at the Department of Economics and the Haas School of Business, working on projects in applied microeconomics, behavioural economics, and development economics. She also served as an Economics Tutor at the Athletic Study Center and as a Writing Tutor at the Student Learning Center. Outside of work, Ipshita enjoys reading, hiking, and playing card and board games, including chess, and is committed to animal welfare and environmental activism.

An aspiring scientist, Divyan is interested in how biotechnology can be used to revolutionize how we treat diseases.

He started out by writing immunotherapy articles, and with a research proposal he wrote, he became a Rise Finalist. After working as an intern at the Lunenfeld-Tanenbaum Research Institute, he began building projects to learn about AI-guided protein design. He has received research grants, has spoken at Web Summit, and is doing experiments at a lab for his most recent project in this domain. In the future, Divyan would like to lead a research team in making new discoveries and applying them to challenging problems.

Outside of research, Divyan enjoys hiking, journaling, and playing chess.

Charvi is an aspiring AI researcher with a strong foundation in machine learning, control systems, and robotics. She is passionate about developing robust and interpretable models for complex, real-world environments.

Her research interests lie at the intersection of graph-based learning and reinforcement learning for dynamic decision-making. Charvi focused on explainability (xAI) and graph machine learning for semantic scene graph localisation as part of the Mobile Robotics Group at the Oxford Robotics Institute. She also worked on adversarial robustness of Graph Neural Networks at the Max Planck Institute for Intelligent Systems.

She recently completed her MEng in Engineering Science at the University of Oxford, where she built a broad interdisciplinary background through a range of hands-on projects including designing controllers, satellite design and routing algorithms for 3D circuits as part of the selective EUROP scheme.

Charvi enjoys gardening, yoga, exploring new places, and outdoor activities that allow her to unwind and recharge.

Aliyan is a curious and ambitious student passionate about solving the world's biggest problems, particularly climate change. His work focuses on the numerous applications of microalgae, which he studies through a laboratory he created in his basement. He has earned numerous awards for this work at the Canada-Wide Science Fair and in the Governor-General's Innovation Competition.

Aliyan is an avid percussionist trained in both Eastern and Western percussive traditions. He is also an active volunteer in his Ismaili Muslim community.

As an Ellison Scholar, Aliyan looks forward to collaborating with leading researchers on projects in climate change and food security, as well as honing his entrepreneurship skills with the goal of entering the startup world after university.

Tobias is passionate about interdisciplinary research that connects mathematical theory with real-world challenges. He greatly enjoyed studying mathematics at Balliol College, Oxford. Alongside a wide range of courses, he found tutoring younger students in various subjects especially rewarding. His research, supervised by Coralia Cartis, has focused on numerical optimisation, particularly Anderson acceleration. Tobias is particularly interested in applying mathematical techniques to climate science and modelling; the work on Anderson acceleration has promising applications to the “spin-up” problem in Earth system models.  

Outside his academics, he enjoys rowing and climbing and is also a keen music lover.  

Jess has had a broad and varied career focusing on applying AI and ML algorithms to finance, agriculture and medicine. She is the CTO and co-founder of Asteo, a company that builds vertical AI agents for highly specialised industries. Previously, Jess was an AI Architect designing multi-agent systems to map agricultural commodity markets and also worked in financial option pricing, publishing research on hedging strategies in the incomplete market.  

Jess gained her MSci from UCL, where she completed her thesis on the greybox modelling of airway flow for critical care patients on mechanical ventilators. She has given talks at multiple events on AI, blockchain and fintech, in collaboration with the UK Centre for Blockchain Technologies and UCL Financial Computing Department, as well as, supervising multiple masters students. She received the Undergraduate 1st Year Prize in Mathematics.

Angelina Chan is a 2025 Marshall Scholar and a 2023 Goldwater Scholar. After starting college at 16 years old, she graduated from Stanford University with a M.S. in Biology (2025) and a B.S. with Honors and Distinction in Human Biology and minors in Chemistry and English (2024, Phi Beta Kappa). She received the J.E. Wallace Sterling Award for Scholastic Achievement as one of the top 25 students in her graduating class.

During her DPhil, she plans to study how chemical and synthetic biology methods can be used to create and modify new genomic functions, expanding on her prior genetics research experience which includes her honors thesis on coevolved adaptation to K1 killer toxin in budding yeast, to her master’s degree studying epigenetic regulation of the human centromere.

Outside of academics, Angelina is an avid harpist and loves to read/watch sci-fi and analyse English literature.

Lydia is a mathematics student driven to implement mathematical methods in modern enterprise. In 2024, she conducted research on the effects of the Covid-19 pandemic on the accuracy of option pricing models in financial markets. She earned a gold medal in the “Applications” round of the 2024 World Mathematics Championship and has received multiple awards in mathematical Olympiads, including winning the Senior Mathematics Challenge Gold Award for three consecutive years.

For the past two years, she has been the Chief Communications Officer of a youth longevity research initiative, representing the organisation at conferences such as Aging Research and Drug Discovery Meeting (ARDD) in Copenhagen, and The Longevity Forum at Oxford. She completed an internship at an AI health analytics startup, where she was in charge of advisor and investor outreach. Lydia has published articles on the role of generative AI in drug discovery, slowing aging with quantum physics and blockchain technology in longevity investment.

Alongside her academics, Lydia plays tennis, and enjoys skiing and travel. She is fluent in Russian, German and is currently learning Mandarin.

Evie is an aspiring battery scientist who holds a first-class MSci degree in Chemistry from the University of Nottingham. She has a broad scientific background, having undertaken research projects in Montreal, Canada, and completed a Faraday Undergraduate Summer Experience internship with the Nottingham Applied Materials and Interfaces Group. Her research experiences span both physical and organic chemistry, from investigating the environmental impact of car tyre degradation to probing the failure modes of lithium-ion batteries. Drawn to the interdisciplinary nature of energy storage technologies, Evie is eager to further develop her multidisciplinary skill set to address the grand challenges facing the field.  Outside the laboratory, Evie is actively involved in outreach initiatives promoting equal opportunities in STEM. A member of her Oxford college's outreach program, she has contributed to outreach projects both in the UK and abroad and recently served on the organising committee for the 2025 Women in STEM Conference at the University of Nottingham.  Beyond her academic interests, Evie enjoys an active lifestyle and is a lifelong supporter of Sunderland AFC.

Atharva is a passionate medical student who is dedicated to addressing healthcare inequalities. Having spent his schooling years in the DR Congo and India, he draws from his diverse experiences to understand medical access and treatment.

Atharva has a keen interest in epidemiology, genetics, and developmental biology, with a strong belief that technology will be pivotal in advancing these fields. He is fascinated by the evolution of pathogens, the development of pandemics, and the strategies used to combat global diseases.

Atharva has won eight Outstanding Cambridge Learner Awards for topping his country and the world during his A Levels. He has authored a review paper on the role of abscisic acid in diabetes. Furthermore, he has participated in multiple Model United Nations (MUNs) and led an MUN club, training delegates in debate.

Outside of academics, Atharva is an avid football and cricket fan. He is a lifelong Arsenal supporter and aspires to visit their stadium one day. He loves music; he plays the piano and guitar in his free time as a creative outlet and a way to unwind.

Simon completed his BSc and MSc at ETH Zurich as a scholar of the German Academic Scholarship Foundation, where he developed a fascination for the complexity of biological systems, the way nature has come up with intricate designs, and the possibility of engineering biology to help solve urgent challenges.

This led him to work on several research projects in related fields, including metabolic engineering for autonomous genetic code expansion in E. coli at ETH Zurich’s D-BSSE. For his master’s thesis, he joined the laboratory of Prof. Hiroaki Suga at the University of Tokyo, where he focused on RiPP enzymology in combination with mRNA display–based drug discovery. He also contributed to developing methods for in silico chloroplast genome design at the Max Planck Institute of Molecular Plant Physiology.

At GBI, his research focuses on advancing genome synthesis technologies with the aim of expanding our design capabilities at the organismal scale.

Outside work, Simon enjoys playing a variety of sports, reading philosophy and traveling.

Ziad is an accomplished learner attaining top in the world, country and city marks across Maths, Physics and Chemistry A-levels. He has a background in electronics engineering, and aims to become a leading innovator in the electronics industry.

Ziad is also interested in researching energy storage devices, such as Li-ion batteries, and how they could be developed to address the world's growing energy demands. He eventually aims to broaden his research areas into semiconductors and quantum computing.

Across internships academic projects and additional pursuits, he has worked on multiple computer vision projects, digital multimeter design, and digital electronics design more broadly.

Beyond academics, Ziad is highly interested in computer hardware, PC gaming and writing useful yet fun software programs.

Gagik is a passionate problem-solver, committed to developing technology with positive societal impact. His journey in programming began with participating and winning awards in International Olympiads. In 2024, he won a silver medal at International Olympiad in Informatics.

Gagik’s current focus is on leveraging advanced technologies, such as AI and computer vision, to support small-scale farmers worldwide. He contributed to a team developing a smart management system for local greenhouses and interned at a tech startup designing an educational engineering kit for high school students.

Gagik is also enthusiastic about sharing his knowledge and has taught competitive programming at his high school.

Outside of academics, he enjoys organizing and participating in chess and speedcubing competitions and playing futsal with friends.

Daniel is deeply committed to applying mathematics and AI to solve real-world challenges. A five-time American Invitational Mathematics Examination (AIME) qualifier and recipient of multiple national and international math and computing awards, he has participated in intensive programs such as Program in Mathematics for Young Scientists (PROMYS) at Boston University, and the Wandering Applied Rationality Program at Oxford University.

Daniel currently interns at Bucephalus where he analyses sales data and model performance. He also serves on the Junior Board of Math-M-Addicts, and is a co-captain of both the Math Team and Robotics Team at his high school.

Beyond academics, Daniel enjoys playing board games and cooking for friends and family.

Quentin aims to improve the transparency and robustness of AI models by using insights from neuroscience and statistics. He is also keen to apply AI to health and medical science, including areas such as drug discovery.

With a background in mathematics, Quentin earned an MSc in Data Science through a double-degree between ETH Zürich and CentraleSupélec. He completed his master’s thesis at the University of Oxford in computational neuroscience, under the supervision of Jascha Achterberg and Rui Ponte Costa. There, he developed a framework to better understand how AI models process information—essentially, how they turn inputs into outputs. This work complements the traditional approach of evaluating models only by their performance, by also looking inside the model to see how it represents and solves problems. His long-term goal is to embed abilities such as continual learning and flexible problem-solving into AI models, making them safer and more reliable.

Outside of research, Quentin completed three internships as an AI engineer in industries ranging from reinsurance to retail, giving him a broad perspective and practical expertise.

Nimay is an aspiring computer scientist who applies AI and high-performance computing across diverse fields. In high school, he took part in math, astronomy, and informatics Olympiads and pursued research in computational math and policy. He is keen on harnessing AI for healthcare and governance, integrating mathematics with ethical frameworks to tackle societal challenges.

He built an accessible legal chatbot at HPE, researched the Pomerance-Spicer Conjecture at SRS Bulgaria, and studied computational biology and math foundations through programs like Lodha Genius and BeyondResearch. Nimay also founded the Indian Albinism Foundation, fostering support and awareness for visually impaired communities.

Beyond academics, he plays piano and guitar, competes in bullet chess, and ponders philosophical paradoxes.

Robbie is an infectious diseases doctor interested in using metagenomics and big data to radically improve our ability to diagnose and treat infection. His interest started whilst working in intensive care during the COVID-19 pandemic, dealing with the uncertainty surrounding this new pathogen, and wondering how things could be improved.

Since then he has worked abroad, coordinating a national infectious diseases surveillance programme in Timor-Leste, before returning to the UK to work as an infectious diseases registrar.

Recent research roles have included a data science fellowship for pandemic preparedness, and most recently, working at Great Ormond Street Hospital introducing a clinical metagenomics service for diagnosing pneumonia in paediatric intensive care.

He holds a medical degree from the University of Cambridge, graduating with Distinction.

Outside of work, Robbie loves playing and watching football, and weekends away with old friends.

Jakob combines a strong interest in AI research with a curiosity for how technological advances can be translated into real-world applications and products. He holds a BSc in Information Systems Management from the Technical University of Berlin and an MPhil in Advanced Computer Science from the University of Cambridge.

His research focuses on collective intelligence and multi-agent systems, with particular interest in how autonomous agents can learn to communicate and cooperate to solve complex tasks. His previous work includes developing a novel tensor program optimizer and studying the behaviour and communication strategies in multi-agent systems.

Jakob has been part of the technology incubator Entrepreneurs First and has worked with several early-stage startups. His long-term ambition is to apply his research through entrepreneurship by building ventures that translate foundational AI advances into impactful solutions.

Outside of work, Jakob enjoys playing chess, running, and bouldering.

James has research interests in applying AI to modern market modeling and climate change solutions. His prior work includes using machine learning to predict quality flags for the ACE-FTS atmospheric data.

James completed his MPhys Physics at New College, University of Oxford in 2025, specializing in Theoretical Physics and Quantum Information Processing - during this time,  he developed his understanding of AI through neural network workshops with the University's AI Core

Sanjana is a Predoctoral Researcher in Economics at EIT, contributing to the team's research on the economics of longevity, ageing, and preventative health. She graduated from the London School of Economics in 2025 with a BSc in Econometrics and Mathematical Economics. During her studies, she conducted field research in the Balkans through the Laidlaw Undergraduate Leadership and Research Scholarship and worked as a part-time research assistant for Nuffield College, Oxford. At LSE, Sanjana led events for the Economics Society and served as an editor for the satirical university newspaper The Raccoon. She also gained experience through internships at the non-profit Magic Breakfast and the economics consultancy London Economics. Beyond work, Sanjana enjoys dancing and exploring new styles. She is also passionate about poetry, short-form writing, and dogs.

Heledd is passionate about understanding how the world works. She read Natural Sciences at the University of Cambridge, studying physics and plant sciences before specializing in chemistry for her BA and MSci. Graduating with first-class honours, her master's project explored formation cycles to optimize metal plating in sodium anode-free batteries. She is now completing her PhD at Oxford as part of a world-leading research team developing lithium-air batteries. Heledd has completed research internships at Nyobolt Ltd and Gaussion Ltd, where she applied advanced electrochemical methods and developed new experimental procedures. Outside the lab, Heledd is a cellist with an ATCL diploma in performance and has performed with the National Youth Orchestra of Wales. She also enjoys countryside walks and jigsaw puzzles.

Rohan is a Predoctoral Researcher at EIT Oxford passionate about applying data-driven solutions to uncover insights and enhance decision-making. Previously, Rohan was an Undergraduate Research Assistant at the UBC Sauder School of Business, where he developed data workflows and analytical models to analyze financial datasets and industry networks. He applied quantitative methods to extract insights from complex data, contributing to impactful research on financial fraud and the dynamics within the data industry. Rohan completed his Bachelor of Science in Statistics at the University of British Columbia and aims to pursue a PhD in Finance or Economics. Rohan has lived in multiple countries, giving him a unique global perspective and the ability to adapt to new environments. His international experiences have shaped how he thinks and works, helping him collaborate easily with people from diverse backgrounds. In his spare time, he enjoys travelling, playing badminton, and following Formula 1.

Matthew’s research focuses on the development and application of tools for accelerated continuous evolution within cells.  

He obtained both a BA and MSc in Natural Sciences at the University of Cambridge, with specialisation in Biochemistry. During his master’s project, he developed a keen interest in methods for the directed evolution of biomolecules. This led him to pursue a PhD in the Chin lab, at the Laboratory of Molecular Biology, before moving over to Oxford to join EIT.  

Outside of the lab, Matthew enjoys spending time outdoors, running competitively for the University, and playing guitar.

Martin is an aspiring physician-scientist and Research Assistant at Boston Children’s Hospital, where he investigates the hematopoietic system and stem cell differentiation. At Oxford, he will study the molecular mechanisms of longevity and healthy aging with a DPhil in Clinical Medicine. He earned his Bachelor of Science in Chemistry with Honors in concentration, magna cum laude, from Brown University, where he won numerous academic and research awards and served as the Head Teaching Assistant in Biochemistry, Principles of Physiology, and Human Anatomy & Biomechanics.

At Brown, Martin founded the Brown Flying Club, was the Editor-in-Chief of the Intercollegiate Finance Journal, and held multiple leadership positions in Model United Nations. After graduating, he co-founded Crimson Bear Associates – a biotechnology consulting firm.

Alongside his academic and professional pursuits, Martin is deeply committed to community service. He has volunteered at the Rhode Island Hospital, the Rhode Island Free Clinic, and Mount Sinai Hospital, and currently serves as an EMT in Boston.

In his free time, he enjoys an active lifestyle as an avid runner, skier, and private pilot.

Nicholas is a leader, collaborator, and researcher who has achieved top grades in courses taught by instructors affiliated with Harvard, MIT, Stanford, Johns Hopkins, University of Chicago, and more.

Aspiring to identify and solve the world’s greatest challenges, Nicholas views political, ethical, and quantitative analysis as vital to achieving this ambition.

By 17, Nicholas had authored 14 works, developed with or peer-reviewed by academics from institutions such as the IMF, Oxford, Cambridge, Harvard, MIT, Yale, and UC Berkeley. A CBS Future Leader and Emergent Ventures winner, he has been recognized by numerous publications, conferences, and media outlets.

Nicholas is known for exceptionally unfunny jokes, enjoys podcasts, board games, and cooking.

Kaavya is passionate about computer science, mathematics, and philosophy. She is particularly interested in the intersections of technology with fields such as healthcare, and its potential to address and aid in alleviating global issues. She also enjoys thinking about theoretical computer science and logic.

Kaavya has published research on quantum game theory called the Quantum Volunteer's Dilemma and developed an app on the App Store MozWatch which distinguishes between different genera of mosquitoes of user-taken mosquito images using machine learning (ML).

She is an Emergent Ventures Winner, and has interned at the Institute of High Performance Computing. As part of winning Emergent Ventures, Kaavya conducted research on the gap in large language model (LLM)-based agents such as AutoGPT, BabyAGI, and GPT-engineer.

Outside of academics, Kaavya loves playing badminton, cycling, reading, and watching YouTube!

Rockwell is devoted to developing technology for the greater good of humankind. Rockwell is a Regeneron Science Talent Search (STS) Top 300 Scholar (2025) and Broadcom MASTERS 300 (2021). Rockwell was an ISEF Finalist in 2022, and he has now qualified for the American Invitational Mathematics Exam (AIME) for six consecutive years. In particular, he is interested in the advancement of nanotechnology and AI for solving global problems. He carried out research on improving the resolution of the Scanning Tunneling Microscope (STM) with the ODU STM Lab. He also interned at Jefferson National Accelerator Facility (JLabs), where he developed alignment systems for the Continuous Electron Beam Accelerator Facility (CEBAF) experiments supervised by JLabs engineers.

Additionally, Rockwell co-founded the physics club, inspiring many students to discover physics.

Outside of academics, he is an avid swimmer and kayaker, volunteers at his local general hospital, and is training for his private pilot’s license, finding exhilaration in the skies.

Yuqi is a DPhil student in Engineering Science from China whose work focuses on lithium-air batteries with X-ray tomography. Yuqi earned dual BSc degrees in Materials Science & Engineering from Northeastern University (China) and in Chemistry from Université Toulouse III – Paul Sabatier. As an undergraduate, Yuqi helped develop a modified diatomite catalyst that turns waste cooking oil into biofuel, a project that received a national Excellence Award. Yuqi later completed an MSc in Advanced Materials Science and Engineering at Imperial College London on aqueous zinc-ion 3D-printed micro-flexible batteries.  Prior to his DPhil at Oxford, he was a research assistant at the University of Science and Technology Beijing working on sodium-ion solid-state interfaces.  Outside the lab, he enjoys playing basketball and watching films.

Emma is a driven DPhil student passionate about advancing transformative research in the energy sector through battery innovation. Motivated by the global transition towards net-zero emissions by 2050, her project focuses on developing next-generation lithium-air batteries. She graduated from the University of Nottingham with First Class Honours in MSci Chemistry, completing a master's project in heterogeneous photocatalysis using earth-abundant and renewable resources for applications in sustainable chemistry. As part of her degree, Emma also undertook an industrial placement at a printed electronics company, gaining hands-on experience in the development and characterisation of advanced energy materials such as photovoltaics and biosensors.  Outside of research, Emma enjoys hiking, running, and rowing, and is often exploring the Yorkshire Dales and the Lake District.

Miriam is a Predoctoral Research Fellow in Economics at EIT Oxford where she researches the economic case for prevention and longevity, examining how healthier lives are reshaping the economy–from how people work and save, to how governments design health and fiscal policy.  Before joining EIT, she was a Research Fellow at Yale University, where she analysed how institutions and incentive systems shape policy outcomes in Latin America. She has also worked with researchers at the Massachusetts Institute of Technology, the University of Chicago, and the University of California, Berkeley, as well as with international organisations such as the World Bank, on projects applying economic analysis to inform evidence-based policy.  She holds a Master's in Economics from the Universidad de San Andrés and a Bachelor's in Economics from the Universidad del CEMA, where she graduated with distinction.  In her free time, she enjoys reading, walking through Oxford, and discovering new coffee spots.  Linkedin: https://uk.linkedin.com/in/miriam-malament

Marek is an interdisciplinary researcher focused on mechanistic interpretability, AI safety, and Bayesian ML, with a background in natural language processing.

He completed an MSc in Advanced Computer Science at the University of Oxford in 2025 with a distinction. At Oxford's Machine Learning for Global Health Lab, he worked as a research assistant and wrote his dissertation on conformal prediction for neural machine translation.

His work has been recognised with the AACL Area Chair Award (2023), Best Paper at AfricaNLP (ICLR 2023 Workshop), and First Prize at the Asia Student Supercomputer Challenge (2021). He has presented at Supercomputing Frontiers Europe (2020, 2021).

Emily is an interdisciplinary researcher at the intersection of artificial intelligence, systems design, and healthcare. She holds undergraduate degrees in economics and engineering and is completing a master’s at Stanford University, where she is affiliated with the Stanford Intelligent Systems Lab, the Center on Poverty and Inequality, and the Human Experience and Advancement Lab at Stanford Medicine.

Her research interests center on developing clinical decision support systems for specialized and resource-limited settings. She has worked on stroke triage optimization and interned at the White House Office of Management and Budget, applying computational methods to improve healthcare and development.

Beyond research, Emily has enjoyed teaching computer science and sociology, mentoring collegiate student-athletes, and rowing competitively for Stanford and the U.S. U23 National Team.

Whether building an ion thruster or optimising solar cell efficiency with natural dyes, Bleddyn is passionate about exploring how emerging technologies can tackle real-world problems.

His work co-authoring a paper on location modelling for nuclear refuges earned a grant from Non-Trivial and led to his role as a volunteer researcher at Alliance to Feed the Earth in Disasters (ALLFED), learning from and collaborating with experts to tackle global challenges.

Driven by these academic insights alongside an interest in practical engineering solutions, Bleddyn is keen to apply developments in robotics and automation to challenges like revolutionising food production security and sustainability.

Other interests include sports like rugby, photography, and involvement in initiatives like the City of London Hygiene Bank and a 700-mile team run to raise £25,000 for charity.

Jolanta is a computer scientist with interests in graph neural networks, AI for biomedicine, and neural algorithmic reasoning. Their journey into computer science began with competitive programming and later shifted toward machine learning.

They hold an MSc in Advanced Computer Science from the University of Oxford, where they graduated with distinction. They have industry experience from internships at Google and NVIDIA, and currently mentor students through the Oxford Wom*n in Computer Science Society.

Outside of research, they enjoy rock climbing, windsurfing, and Role Playing Games.

Jhonathan is researching machine learning, spatiotemporal statistics, and their applications in global health. He holds an MSc in Advanced Computer Science from the University of Oxford, where he graduated with distinction and focused his thesis on graph transformer neural networks.  

His professional experience spans academic and industry settings, including research assistant roles at Oxford, Imperial College London, and the Hebrew University of Jerusalem, and algorithm development for autonomous vehicles at Mobileye. His current interests include scalable Bayesian methods for disease modeling and epidemiological forecasting.  

Beyond research, Jhonathan enjoys teaching and tutoring, having supported students with specific learning difficulties in mathematics and computer science.

Anastasia is a devoted scholar passionate about all things STEM and dedicated to driving global change in Medicine. Achieving top in the world for IGCSE Physical Science and selected into the Australian Biology Olympiad Summer School, she aims to leverage her scientific knowledge as well as her experience in mathematical modelling to revolutionize preventative healthcare infrastructure.

Her award-winning research into the use of bioinoculants in saline land regeneration developed into a fascination with the effects of the human microbiome on body systems.

Outside of academics, Anastasia is an avid public speaker, having achieved her Diploma of Communication, and enjoys hiking, collecting fluorescent objects, learning languages and calligraphy.

Driven by a passion for environmental sustainability, Amelia is an inorganic chemist and materials scientist researching next-generation rechargeable battery materials. At Oxford, she focuses on lithium-air batteries, which offer exceptionally high energy density, leading to potential applications in aviation. Her past work has spanned diverse battery technologies–anodes, electrolytes, and cathodes–using energy-efficient microwave synthesis combined with advanced crystallographic and NMR characterization. She holds a BS in Chemistry with Distinction and an MSc in Materials from the University of California, Santa Barbara. Her research has been published  and she has been recognized through academic awards and honors. Awards such as being the recipient of the 2024 ACS (American Chemical Society) Division of Inorganic Chemistry Undergraduate Award for the University of California, Santa Barbara and a Distinction in the major of Chemistry. .  Outside the lab, she enjoys cooking, running, and martial arts.

Alice holds an MSci degree in Chemistry from Imperial College London and is currently pursuing a DPhil in Materials. Her research focuses on developing lithium-air batteries to enable next-generation energy storage technologies. For her master's project, she worked under Professor Saif Haque investigating metallocenes as stable dopants for perovskite solar cells using laser spectroscopy, contributing to a deeper understanding of dopant stability in photovoltaic systems.  Beyond research, Alice enjoys reading, running and travelling and has a strong interest in sustainable energy technologies.

Daniel is passionate about autonomous systems and their possible applications in environmental sustainability.

After winning first place as Cyprus Super Champion in the FIRST LEGO League, Daniel developed his skills in embedded systems and programming by iterating and improving micromouse robots. He later applied these to the Mobilised Atmospheric Surveying and Sensing Unit (MASSU), which he presented at national science fairs. Recognising a gap in robotics education at his school, he co-founded and continues to lead its first student-run robotics club, mentoring students to victory in the 2024 Robotex Cyprus maze-solving competition.

Beyond academics, Daniel enjoys go-karting, debating, and spending time with his dog.

Santiago is a Predoctoral Researcher in the Economics Department at EIT, where he evaluates measures to track and predict health outcomes.  He graduated from Harvard College in 2024 with an A.B. in Applied Mathematics with a focus in Economics. Before joining EIT, Santiago was a Predoctoral Fellow at Harvard Business School and Massachusetts General Hospital, working alongside researchers at the Harvard Medical School's Department of Health Care Policy. His undergraduate thesis examined how social capital influences graduation rates across the United States.  Santiago plans to pursue a PhD in Economics in the near future.  Outside of research, he enjoys running, photography, and perfecting his home-made flat whites.

Jasmina is dedicated to developing sustainable energy storage technologies. At the University of Oxford, she is pursuing a DPhil in Materials, where her research focuses on advancing next-generation batteries to accelerate the transition to Net Zero.  She earned her First Class Honours MSci degree in Chemistry from the University of Nottingham, where she received the King Memorial Medal and Prize (2025) for Outstanding Practical Work and the Kipping Award (2022) for Distinguished Academic Performance.  During her Master's studies, Jasmina specialised in photoelectrochemical CO2 reduction within the Nottingham Nanocarbon Group, where she developed a new material for carbon capture and storage. She also completed a year-long industrial placement at AstraZeneca, developing analytical methods for novel drug products. Her work earned her Registered Scientist (RSci) recognition from the Royal Society of Chemistry and was presented at national analytical chemistry conferences.  Beyond work, Jasmina enjoys dance classes and is passionate about cooking and wine. LinkedIn profile: https://www.linkedin.com/in/jasminasil/

Junko is a Specialty Registrar in Infectious Diseases and General Internal Medicine in Oxford. Brought up internationally across the UK, USA, and Japan, she has held a longstanding interest in working for a cause that has a wide-reaching global impact – solidified during a previous internship at the WHO, and an elective working in Thailand and Cambodia.

Currently, her main research interest is in the application of genomics to improve microbiology diagnostics and tackle global antimicrobial resistance.

Junko holds a BA in Natural Sciences and a MPhil in Public Health from the University of Cambridge, and a medical degree from the University of Oxford.

Outside of work, Junko enjoys keeping herself active, and used to be on the Great Britain national team for the martial art kendo.

Keith is passionate about utilizing AI to tackle food insecurity, inspired by his firsthand experience with the El Niño drought, which affected millions of people in his country. He has worked on research to understand better how predictive models can be used for crop yield forecasting and won a national award at the Africa Science Buskers Festival.

Keith won Cambridge Learners Awards for physics and chemistry, top in Zimbabwe during his A Levels. In 2024, he proposed the use of multi-spectral imaging for effective pest scouting in Zimbabwean commercial farms at the Zimbabwe Science Fair.

Beyond research, he manages "A-Level Physics Redefined," a YouTube channel that has reached over 15,000+ students worldwide, dedicated to making physics education more accessible.

In his spare time, he enjoys listening to podcasts, video editing, and connecting with others.

Lorenzo was among the first cohort of graduates in Mathematical and Computing Sciences for Artificial Intelligence at Bocconi University (Milan). During his undergraduate studies, he conducted research at the University of Oxford, analyzing spatial transcriptomics data, and at Institut Pasteur as an AMGEN scholar, where he developed deep learning models for microscope image analysis.

Lorenzo's research focuses on applying deep generative models at the intersection of structural biology and immunology, with a particular interest in protein and small molecule design. He is also interested in Scientific Machine Learning and Bayesian Optimization.

He completed an internship and his master's thesis at Roche (Basel), where he worked on developing algorithms for reaction condition prediction to accelerate early drug development.

Beyond academia, Lorenzo is passionate about cooking and enjoys long hikes of multiple days in nature.

Claas is an interdisciplinary researcher with a background in computer science and a focus on machine learning for healthcare and computational biology. He holds degrees in Computer Science from RWTH Aachen University (B.Sc.) and the University of Oxford (M.Sc.). His research includes generalising kernel-based algorithms for robust atrial fibrillation detection and designing pipelines for the segmentation and 3D reconstruction of the atria from MRI scans.

Claas has also worked in industry, applying machine learning to accelerate drug discovery. Building on this experience, he is especially interested in generative models for designing novel proteins and small molecules.

Beyond academia, Claas contributes to international exchange and science outreach. He also enjoys doing sports, particularly long-distance running and half marathons.

Timothy is a passionate mathematician and computer scientist interested in pushing the boundaries of computational problem-solving. In 2024, he co-authored research papers on machine learning-augmented astrodynamics and prediction of neo-antigens, published at Massachusetts Institute of Technology Undergraduate Research Technology Conference (MIT URTC).

Timothy is interested in AI, with a focus on predictive modeling. He has conducted research on machine learning applications in environmental science, using AI to predict cyanobacteria quantities in local rivers.

He loves teaching younger students mathematics and has worked as a math teacher at SchoolPlus and Math Kangaroo, helping prepare students for competitions and fostering a passion for problem-solving.

Outside of academics, Timothy is an avid board game enthusiast and a dedicated athlete in fencing.

Dora completed her Honours Bachelor of Science (H.B.Sc.) with high Distinction in Physiology and Health and Disease at the University of Toronto. She is intrigued by the design of the genetic code and its potential to be harnessed to address current challenges.

Her research journey began with constructing an attenuated strain of Vibrio parahaemolyticus, where she modified its type VI secretion system by fusing a chimeric effector to alter its prey targets. She then later joined the Leah Cowen Lab at the University of Toronto for her undergraduate thesis to investigate essential genes in Candida albicans and characterize their function.

In her Msc by research at GBI, Dora is exploring proof of principle approaches for genome isolation and synthesis.

Outside the lab, she enjoys going for runs and loves to read a variety of literature.

Erik is a researcher focused on accelerating scientific discovery through artificial intelligence. He graduated summa cum laude from Harvard with degrees in physics and computer science, where he built the first graduate-level applied mathematics benchmarks for large language models. His other research includes training reasoning agents at Lila Sciences and developing AI tools for national security at Lockheed Martin.

Outside of his research, Erik led the Harvard AI Group, served as a Teaching Fellow for various undergraduate and graduate courses in physics and applied mathematics, and competed on the squash team. He enjoys listening to podcasts and spending time with his family.

Kinsey is passionate about using technology for positive change. At 15, he worked with National University of Singapore (NUS) professors on novel wastewater treatment methods. He represented Singapore at the Stockholm Junior Water Prize and was commended by then-PM Lee Hsien Loong.

During the pandemic, he initiated a biofilm eradication project, winning Gold at the Singapore Science and Engineering Fair and the Grand Prize (Bronze) at the Global Youth Science & Technology Bowl. He tested his prototype in a clinic and is seeking to commercialise it.

Kinsey served his National Service as a Lieutenant. He now mentors his juniors at his alma mater.

Kinsey loves chess, running, and cycling. He is also a language enthusiast, speaking English, Chinese, and German.