Fellowship class of 2022

The Foresight Fellowship is a one-year program committed to giving change-makers the support to accelerate their bold ideas into the future.

Our mission is to catalyze collaboration among leading young scientists, engineers, and innovators who are working on emerging new technologies that have the power to transform society. Since 1993 Foresight Institute has been rewarding those who are making strides in the field of Nanotechnology with the Feynman Prize. In 2016, one of our former Feynman Prize winners, Sir J. Fraser Stoddart, was awarded the Nobel Prize in Chemistry for his work with molecular machines. We think that providing a strong network, knowledge exchange, and platform for fellows early can significantly advance their capability to make important strides in a variety of fields. During the 1 year program, Fellows are invited to engage in events, connect with fellows and mentors, and help each other succeed with their endeavors. 

Biotech & Health Extension

Juanita Matthews

Currently, she is doing a postdoc at Tufts University with Dr. Michael Levin at the Allen Discovery Center. Also she is working to understand novel bioelectric controls of cell-cell interactions. Specifically, ion channel modulation of glioblastoma and stem cell differentiation. Her other projects have involved altering cellular resting membrane potentials to control the innervation of murine muscle cells grown in 2D and in ex vivo explants. She also work on methods for investigating primary cellular cognition.

Yuri Deigin

Yuri Deigin, MBA is a biotech entrepreneur with a focus on early-stage translation of scientific breakthroughs into therapies. He has over a decade of drug discovery and development experience, and a track record of outlicensing products to Big Pharma.



Maryna Polyakova

Currently, she is using neuroimaging, fluid biomarkers and neuropsychological testing to define between different subtypes of disease, with an ultimate aim to improve treatments.

Maryna is also interested in Personalized solutions that predict treatment efficiency in depression and progression of neurodegenerative diseases.

Beside this she is currently teaching introduction to medicine with a focus on digital health in HTW Berlin and giving lectures on basics of nervous activity, depression and schizophrenia at the University of Leipzig and Max Planck.

Tinka Vidovic

Medical doctor and Ph.D. student interested in Molecular medicine, Bioinformatics, Machine learning, and Anti-aging research.

Nikola T. Markov

Nikola is a bioinformatician at the Buck Institute for Research on Aging. He is interested in the mechanisms of aging with special emphasis on brain aging. He applies multi-omics systems approaches to untangle the process of normal and pathological aging.

Alexander Fedintsev

Alexander Fedintsev is a scientist and machine learning engineer. His scientific background lies in the field of bioinformatics, statistics, and machine learning. Alexander earned his M.S. in computer science from the National Research University “Moscow Power EngineeringInstitute”. Alexander worked in the Institute of Antimicrobial Chemotherapy as a bioinformatician. He also collaborated with professor Alexey Moskalev’s lab on aging research. After quitting academia, Alexander switched to machine learning engineering however he continued collaborating on aging research with professor Moskalev. He developed a highly accurate non-invasive biomarker of aging based on markers of the cardiovascular system. Now his research interest is mainly focused on the role of extracellular matrix (ECM) in the aging process. He and professor Moskalev recently suggested treating non-enzymatic modifications of long-living proteins (mostly, in the ECM) as a 10th hallmark of aging.

Mac Davis

Machiavelli is a biohacker and gene therapy activist developing gene therapy for the masses.

Nora Khaldi

Dr Nora Khaldi is an award-winning TEDx speaker and a highly published mathematician and scientist. Nora’s revolutionary and innovative ideas and inventions have been awarded and recognised by the likes of Forbes, Wired and the EU Commission.
After leaving her academic career in early 2014, Nora decided to focus exclusively on disrupting the way therapeutic molecules were being discovered. She thus created Nuritas™, the first company in the world to introduce artificial intelligence (AI) to the food arena with the aim of creating the future of food and personalised nutrition, in a nutshell, the future of health. Based in Dublin, Ireland, Nuritas™ is revolutionising health and food systems through the accelerated discovery of therapeutic health-benefiting molecules from food.

Zvonimir Vrselja

Zvonimir Vrselja received his M.D. and Ph.D. from J. J. Strossmayer University in Croatia. After completing his graduate education, he started his postdoctoral training at Yale University in the United States of America. He currently holds the position of Associate Research Scientist in the Sestan Laboratory at the Yale School of Medicine. His research focuses on the development of a system that preserves global anatomical organization, as well as cellular organization, attenuates cell death, and restores neuronal, glial, and vascular functionality, along with global metabolism, in isolated large mammalian brains several hours after death.

Cody Rasmussen-Ivey

Postdoctoral Fellow at Harvard T.H. Chan School of Public Health

Delphine Larrieu

Dr Delphine Larrieu completed her PhD in 2010 at the University of Grenoble, France. She then undertook her postdoctoral training with Professor Steve Jackson at the University of Cambridge, with independent funding from EMBO and from the Medical Research Council. She then obtained a Sir Henry Dale Wellcome Trust fellowship, allowing her to set up her own lab at the Cambridge Institute for Medical Research.

Delphine’s lab is interested in understanding mechanisms driving rare premature ageing syndromes called progeria, and in identifying new ways to treat these diseases.

Iosif Gershteyn

Iosif M. Gershteyn is a serial entrepreneur with a track record of founding companies in the biologics and medical device industries. Upon completing his graduate studies in international economics and finance at Brandeis University in 2009, he started his career in asset management working on long-term qualitative investment strategies. Subsequently, he worked in corporate strategy (including mergers and acquisitions) and ultimately embarked on a career in technology entrepreneurship. Alongside his primary occupation, he pursued interests in biology (neuroscience, immunology and physiology) after the completion of his formal education. These interests led him to found the Immunodietica project, which generates published research in the fields of immunology and computational systems biology. Since 2016, he has chaired the Ajax Biomedical Foundation and believes that computational systems have underexplored promise in multiple applications of human health, finance, and complex systems analysis. He is currently CEO of ImmuVia, an oncology therapeutics company.

Bradley English

Since you ‘cannot change what you cannot measure’, Brad endeavors to bring accessible, affordable, and scientifically sound aging biomarkers to the general public. As a researcher, Brad investigates these age-associated changes — epigenetic methylation marks — looking for why they accompany such profound, unprecedented consequences, in both naturally aged tissue and reprogrammed cells.

Tatyana Dobreva

Before getting her hands dirty in the messy world of biology, Tatyana was pursuing her dream of becoming an astronaut. After completing her degree in electrical engineering, she worked as a signal processing engineer at NASA’s Jet Propulsion Laboratory (JPL). Tatyana volunteered her nights and weekends doing research at Caltech in neuroprosthetics and viral engineering to get a grasp on how engineering is used to probe and fix biology at its core – the cell. She then pursued her passion full time and got a PhD from Caltech where she got a chance to work on cell engineering, adeno-associated viruses, and single-cell RNA sequencing. Tatyana is now a CEO and a Co-Founder of ImYoo Inc. which is working on using single-cell immune profiling to connect people with similar immune profiles to share their health journeys.

Nikolina Lauc

Nikolina Lauc is a successful serial entrepreneur with 11 years of experience. She co-founded several startups in the field of fashion, SaaS, travel and biotech, scaling them from one customer to a 3M+ in revenue with no investor backing. She has extended experience in optimising resources, managing small teams in fast-growth environments and building consumer products and services that focus on retention. As an outsider to biotech, she’s already uncovered a novel application for an existing technology that was missed by 50+ scientists in its research lab. She’s the co-inventor of a patent in the women’s health diagnostics space. As Chief Executive Officer, she will be leading GlycanAge in its development from a biomarker in research to a consumer product.

Kai Micah Mills

Cryonics for Pets

Kai Micah Mills is a serial entrepreneur with over a decade of experience building and scaling tech companies, most recently Branch Technologies. His focus is now in the cryonics field with his new company Cryopets, constructing an animal hospital and cryonics facility hybrid to advance the science of full-body cryopreservation for pets and humans alike.

Matthew McAteer

Matthew McAteer is a researcher, engineer, and entrepreneur with years of experience in biotech. Matthew has worked in labs addressing age-related diseases at Brown University, MIT, and Mass General Hospital. This was followed by working on using symbolic regression to design cheaper NAD+ precursor production systems. After working with Google’s Tensorflow team on probabilistic programming toolkits, Matthew began building ML pipelines for various biometric authentication and drug discovery startups. He is currently working on ways to make adopting private machine learning best practices easier to adopt for both industry and academia.

Molecular Machines

Dusan Kolarski

Dušan Kolarski studied Chemistry and obtained his B.Sc. degree at the University of Belgrade. He then pursued his M.Sc. studies at ETH Zürich in Switzerland in the group of Prof. Dr. François Diederich. As a master student, he also did an internship at Novartis Institute for BioMedical Research in Basel, Switzerland. In 2020, he obtained his Ph.D. under the supervision of Prof. Dr. Ben L. Feringa at the University of Groningen, where they have developed the field of chronophotopharmacology. His research was focused on using photo-responsive small molecules to reversibly control the circadian clock in mammals by turning drugs` activity ‘on’ and ‘off’ with light.

Giulio Ragazzon

Giulio research interests evolved from photochemistry to molecular machines, self-assembling systems and nanomaterials, as reflected by the interests of his mentors: Credi, Aida, Prins & Prato. He is recipient of multiple awards, including the European Young Chemist Award.

Austin M. Evans

Austin completed his PhD studies at Northwestern University under the direction of William R. Dichtel. As a graduate student, Austin studied two-dimensional polymerizations and the applications of macromolecular sheets. As a postdoctoral scientist in the Nuckolls and Venkataraman labs, Austin is exploring electron dynamics in single-molecule electronics and extended organic solids.

Victor, Garcia Lopez

Researcher using the synthetic chemistry toolbox, spectroscopic and photochemical methods to develop new dynamic molecular devices for different applications, including molecular recognition, acceleration of cancer cell death, transport and delivery of cargo at the nanoscale, chemical catalysis, and solar energy conversion.

Yanguang, Zhou

Dr. Yanguang Zhou received his Ph.D. degree with “Ausgezeichnet” in Mechanical Engineering Department at RWTH-Aachen University, as well as his M.Eng. degree and B.Eng. degree in Mechanical Engineering Department at Beihang University and China University of Geoscience, respectively. After graduation from Aachen, he worked as a postdoc research associate and an assistant visiting project scientist at the University of California, Los Angeles (UCLA) before joining HKUST as an assistant professor.

Charlie McTernan

Charlie McTernan is a physical sciences group leader at the Francis Crick Institute in London, and a lecturer at the Department of Chemistry at King’s College London. He is a supramolecular chemist, investigating how artificial molecular machines and metal-organic capsules can be applied in biomedical science.

He joined Prof. David Leigh’s group in 2013, funded by a University of Manchester Dean’s Faculty Award. His doctoral research included the synthesis of artificial molecular machines, switchable catalysts, and rotaxanes.

Ambika Somasundar

Dr. Somasundar earned her Ph.D. in chemical engineering from Pennsylvania State University, with Prof. Ayusman Sen and Prof. Darrell Velegol. As a PCCM postdoctoral fellow, Ambika will be working with Prof. Howard Stone(link is external) on particle penetration into bacterial biofilms.

Kunyu Wang

Kunyu Wang is a PhD candidate at Texas A&M University. He received B.Sc. in Chemistry (Po-Ling class) from Nankai University in 2018, where he studied metal−organic frameworks under the guidance of Prof. Wei Shi. In 2017, he went to Northwestern University as an undergraduate researcher in Dr. T. David Harris’ group to study semiquinoid molecular magnets. In 2018, Kunyu joined Prof. Hong-Cai Zhou’s research group at Texas A&M University. His research interest now focuses on novel strategies to design multi-component and hierarchical metal−organic frameworks. During his study, Kunyu has published 31 peer-reviewed articles, including 8 first/co-first author papers on top-notch journals, such as Angew. Chem. Int. Ed., ACS Materials Lett., ACS Cent. Sci., Trends. Chem., Chem. Soc. Rev., and Matter. Besides, he has presented his research in many conferences, including the RSC Faraday Discussion, Gordon Research Conference, and ACS National Meeting.

Yuanning Feng

After obtaining the gold medal of the National Chemistry Olympiad of China, he started his undergraduate studies at Tsinghua University with an Outstanding Incoming Student Fellowship. Yuanning worked as an undergraduate research assistant on organic synthesis and supramolecular self-assembly in Professor Mei-Xiang Wang’s group at Tsinghua University as well as in Professor Jonathan Sessler’s group at the University of Texas at Austin. In the summer of 2016, he completed his Bachelor’s Degree in Chemical Biology as a Tsinghua Xuetang Talent Fellow under the supervision of Professor Xi Zhang with a research project on supra-amphiphiles. After that, Yuanning joined Professor Fraser Stoddart’s group at Northwestern University, working on artificial molecular machines and graduated with a PhD Degree in August 2021. He used to spend a little time with Professor Douglas Philp (University of St Andrews) working on a supramolecular polymer incorporating systems chemistry and mentor an undergraduate student with Professor Dong Jun Kim (University of New South Wales). He is now carrying out multiple research projects as a postdoctoral research fellow in the group.

Simon Krause

Dr Simon Krause is a chemist working at the intersection of organic, inorganic, physical, and materials chemistry. He studied chemistry at the University of Nottingham (UK) and Technische Universität Dresden (Germany). In 2019 he obtained his PhD at TU Dresden under the supervision of Prof Stefan Kaskel in the field of negative gas adsorption of flexible metal-organic frameworks. From 2019-2020 he worked in the filed of light-driven molecular motors and switches as a Feodor Lynen post-doctoral research fellow of the Alexander von Humboldt foundation in the group of Prof Ben Feringa at the University of Groningen (Nl). Since 2021 he is a group leader at the Max Planck Institute for Solid State Research in Stuttgart (Ger) supported by a Liebig Fellowship researching in the field of framework-embedded molecular machines. If not in the lab you can find him on a lacrosse field, slamming about science or behind a camera.

Dionis Minev

Dionis Minev truly values the creative design process, whether he’s using it to produce a beautiful painting or to build a new DNA structure. He is the team lead on the Crisscross Nanosciences Validation Project and is working with his team to create a rapid, low-cost, point-of-care diagnostic device.

Ph.D., Engineering Sciences, Harvard University, 2020; M.Sc., Medical Technology and Engineering, Technical University of Munich, 2015; B.Sc., Mechanical Engineering, Karlsruhe Institute of Technology, 2012

Dr. Larissa K. S. von Krbek

Larissa studied chemistry at Freie Universität Berlin, Germany, having worked in the groups of Prof. Dr. Hans-Ulrich Reissig on carbohydrate-mimetics synthesis, Prof. Dr. Beate Paulus on DFT calculations of crown-ether/ammonium pseudorotaxanes, and Prof. Dr. Christoph A. Schalley on multivalent supramolecular complexes. She was awarded a fellowship of the German Academic Foundation to do her PhD studies on the thermodynamic analysis of multivalent crown-ether/ammonium systems in the group of Prof. Dr. Christoph A. Schalley. In 2016, she obtained a Dr. rer. nat. in chemistry.

During her following postdoctoral stay in the group of Prof. Jonathan Nitschke at the University of Cambridge (2017–2020), she was working on stimuli responsive metal-organic cages and combining cages with classical supramolecular crown-ether/ammonium motives. She was funded by a Feodor Lynen Research Fellowship of the Alexander von Humboldt Foundation.

In Summer 2020, Larissa moved to Bonn to start her independent career working in the field of systems chemistry and out-of-equilibrium self-assembly with a Liebig Fellowship (Fonds der Chemischen Industrie) and later the Emmy Noether Programme (German Science Foundation).


David August

2022 Foresight Fellow in Molecular Weaving

David obtained his MChem degree and PhD at the University of Edinburgh, Scotland where he worked on the development of catalytic coordination cages with Dr Paul Lusby. In 2016 he took up a post doctoral position within the group of Prof. David Leigh at the University of Manchester, UK where, in June 2021, he was promoted to Lecturer within the same group. His work focuses on the formation of complex molecular topologies including knots, links and woven materials. His work on the formation of a molecular fabric was shortlisted for the 2021 Times Higher Education Research Project of the Year (STEM) and holds the Guinness World Record for the World’s finest fabric.



Intelligent Cooperation

Ben Garfinkel

Ben’s research interests include the security and privacy implications of artificial intelligence, the causes of interstate war, and the methodological challenge of forecasting and reducing technological risks.

He is a Research Fellow at the Future of Humanity Insitute and a DPhil student at Oxford’s Department of Politics and International Relations. He previously earned a degree in Physics and in Mathematics and Philosophy from Yale University.

Rosie Campbell

Rosie Campbell is a Technical Program Manager at OpenAI, where she leads a team of safety specialists working on the responsible use of large language models. Previously, she was Head of Safety-Critical AI at the Partnership on AI, where she focused on responsible publication practices for increasingly advanced AI research. Before that, Rosie was the Assistant Director of the Center for Human-Compatible AI (CHAI)—a technical AI safety research group at UC Berkeley working towards provably beneficial AI—and continues to advise the group on strategy and operations. Before that, Rosie worked as a research engineer at BBC R&D, a multidisciplinary research lab based in the UK. There, she worked on emerging technologies for media and broadcasting, including an award-winning project exploring the use of AI in media production.

Philipp Koellinger

Philipp is a professor in social science genetics at the  La Follette School of Public Affairs at the University of Wisconsin Madison and also hold an appointment at the Vrije Universiteit Amsterdam at the Department of Economics.

His research investigates how genes influence economic behavior, and how insights into the genetic architecture of behavioral outcomes can inform social and medical research. Some of his work also explores how the brain mediates relationships between genes and human behavior. He is the one of the principal investigators and co-founders of the Social Science Genetic Association Consortium (SSGAC), the BIG BEAR Consortium, and the Externalizing Consortium.

Philipp is a co-founder of DeSci Labs and President of the DeSci Foundation.

Joshua Tan

Josh is a mathematician and computer scientist working on the intersections between AI and governance. He is the executive director of the Metagovernance Project (metagov.org), a practitioner fellow at Stanford’s Digital Civil Society Lab, and a DPhil student in computer science at the University of Oxford.

Jamie Joyce

Jamie is the founder and Executive Director of the Society Library – a non-profit that creates structured knowledge databases of media concerning debates and discussions around complex social issues. Her goal is to improve humanity’s relationship with information online: in educational, epistemological, and political contexts.

Projects include: Great American Debate (concerning climate change), Internet Government, and COVIDConvo. She’s also interested in the question of how we can engineer new media and societal institutions to meet the demands (and rise to meet the challenges) of the information age.

Jamie has a background in international sustainable development. She oversaw 30 projects in more than 20 countries and served as a representative to the United Nations on behalf of the NGO she served. Jamie is also currently on the board of Wikitongues, a non-profit organization creating a seedbank of the world’s 7000 languages and seeding revitalization efforts around the world.


Matjaz Leonardis

Matjaž has been working with David Deutsch to create a better explanation of and elaborate on the further consequences of a theorem Popper and Miller published in 1983. In particular, Matjaž’ work allows a new perspective on Bayesianism that calls into question the usual interpretation of Bayesian updating.

Georgios Kaissis

Georgios is an assistant professor and consultant radiologist at the Technical University of Munich where he work at the Institute for Artificial Intelligence in Medicine and the Institute of Radiology. He also lead OpenMined Research.

Georgios obtained his medical and doctoral degrees from LMU Munich, his Master’s in Business Administration for Healthcare from FAU Nuremberg and his radiology board certification at TU Munich. He did a postdoc in AI for medical imaging at the Department of Computing at Imperial College London, where he remain as a Research Associate.

His research interests revolve around secure and private artificial intelligence, specifically differential privacy, and their applications in the domain of medicine and radiology in particular.

Lawrence Wu

Lawrence is a developer and technical entrepreneur with a background in pure math, statistics, algorithms, systems, and finance. He holds computer science and mathematics degrees from MIT and has been a software engineer at Cruise Automation, SoundHound, and Folsom Labs (acquired by Aurora Solar).

Recent interests include a more social science and transdisciplinary mindset, seeing coordination problems as a bottleneck to realizing humanity’s global optimum. Along these lines, Atoms is a recent initiative focused on coordinating and resourcing research using Web3 and cryptoeconomics.

Existential Hope

Romain Fonteyne

He is a rover operations preparator on the ExoMars program at the European Space Agency. Romain have authored and co-authored about 10 publications. Recognized by Forbes for the 30 Under 30 Europe list of 2021, and recipient of the International Giuseppe Sciacca Award for Science and Research in 2021. He was also described as a French Research Engineer of the Future honouree by L’Usine Nouvelle in 2019. Romain graduated from the Institut Polytechnique des Sciences Avancées (IPSA) with a Master’s degree in Aerospace Engineering in 2019, and from Politecnico di Torino with a Master’s degree in Space Systems Engineering in 2020. He also hold 7 recognized certifications in Machine Learning and Deep Learning.

Ales Flidr

Starting Master’s in economic history at Oxford with a focus on past transformative technologies, trying to learn lessons for the ones to come.
Previously worked as research assistant at DeepMind and the Future of Humanity Institute in Oxford.