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

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 adaptive 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 deep geometric 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 co-founder of an independent science initiative that aids researchers with publication pathways, academic collaborations, upskilling opportunities, support with articles and presentations, partnerships with open-source projects and mentorship. Previously, she was the CTO and co-founder of Asteo.ai and she has worked as an AI architect in commodity markets. Jess has also published research on hedging strategies in incomplete markets with Springer. 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.

Jess gained her MSci from UCL, completing her thesis on neural networks for CFD modelling of patients on ventilators.  She received her Undergraduate degree from UCL where she was awarded 1st Year Prize in Mathematics.  

Jess enjoys playing piano, running, swimming and hiking in her free time.

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.

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 undergraduate and graduate studies at ETH Zurich as a scholar of the German Academic Scholarship Foundation. He is fascinated by 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.

During his studies, he conducted research on metabolic engineering for autonomous genetic code expansion in E. coli at the D-BSSE of ETH Zurich. 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 all kinds 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.

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.

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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 organisation.

James enjoys hiking, camping, and outdoor activities. He also spends his spare time cycling and playing acoustic 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.

Marek is an interdisciplinary research enthusiast who is interested in Mechanistic Interpretability, Bayesian ML, and HPC. He has a strong background in Natural Language Processing (NLP) and Deep Learning, specifically Neural Machine Translation and Uncertainty Quantification.  

Marek won the Area Chair Award from the Association for Computational Linguistics (AACL) and the Best Paper Award at AfricaNLP International Conference on Learning Representations (ICLR) Workshop. He has published first-author papers at AACL, ICLR Workshop, and the Institute of Electrical and Electronics Engineers (IEEE) ‘Transactions on Parallel and Distributed Systems’ journal. He was a non-first paper author at Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL). Marek has spoken at the Supercomputing Frontiers Europe 2020 and Supercomputing Frontiers Europe 2021 conferences and was a finalist of the Asia Student Supercomputer Challenge 2021 in Shenzhen, China and was a finalist of student cluster competitions at the SC20 virtual conference, ISC20 conference in Frankfurt, Germany and at the SC19 conference in Denver, USA.

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.

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.

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.

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.

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 also helped launch a startup designed to help users learn faster online, and enjoys spending time with his family.

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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.