OptimalAI
LEADERSHIP
Many Disciplines,
One Common Goal
Our interdisciplinary approach combines advances in AI, physics, engineering and neuroscience.
Prof. John Shawe-Taylor
DIRECTOR
John is most noted for his work on neural networks and machine learning. He is Chair of AI at UNESCO and Chair of Computational Statistics and Machine Learning at University College London (UCL). From 2014-2021, the UK's Research Evaluation Framework (REF) ranked John's Computer Science Department at UCL as the UK's leading computer science research department. His research into neural networks in the 1990s and early 2000s 'rebirthed' the world's approach to fundamental AI research and contributed significantly to the development of deep learning and reinforcement learning techniques for fundamental AGI research. In 2015, John co-founded the Alan Turing Institute, the UK's national institute for data science and artificial intelligence. Then in 2018, he co-founded the UCL Centre of Artificial iIntelligence, one of the world's leading AI research organizations. John collaborates with multiple research organizations, including Google Deepmind, and coordinates multiple fundamental research initiatives. Most recently he has been working with Global 2000 and academic partners on the world's largest human-centered AI research program. John obtained a PhD in Mathematics at Royal Holloway, University of London.
Prof. Emine Yilmaz
Computational Statistics
Emine is a professor of Computational Statistics and Machine Learning (CSML) at University College London's AI Centre. She is also a Fellow of The Alan Turing Institute. Emine's research interests lie in the areas of information retrieval, data mining and applications of machine learning, probability and statistics. She is one of the world's leading data scientists and has been instrumental in the development of Amazon's Alexa where she is an Amazon Scholar. Emine has received awards from Google, Bloomberg and the European Union. She is also the recipient of the British Computer Society's, Karen Sparck Jones Award for Information Retrieval (sponsored by Microsoft). Emine received a PhD in Computer Science from Northeastern University.
Bert Kappen
neural networks, quantum ML
Prof. Bert Kappen’s research focuses on neural networks, machine learning and quantum technology. He has developed multiple novel approximate inference methods and pioneered the mean field analysis of stochastic neural networks with dynamical synapses. His work on mean field theory for asymmetric stochastic neural networks is at the basis of current research to find connectivity patterns in neural circuits. His novel class of non-linear stochastic control problems is recognized as an important approach to stochastic control and has been adapted by world leading robotics groups and the medical field. Bert is a professor of Neuroscience at Radboud University, the director of SNN, the Dutch foundation for Neural Networks and is an honorary faculty at the Gatsby Unit for Computational Neuroscience at University College London. Bert has a PhD in Theoretical Physics from The Rockefeller Center, New York.
Jan-Peter Muller
Computer vision mapping
Jan-Pete is one of the world's leaders in the fundamental research and development of computer vision algorithms for mapping. He has led interdisciplinary teams on complex software and hardware development projects for the UK's Ministry of Defence, NASA, the European Space Agency, DARPA and the UK Space Agency. His expertise includes advanced algorithms for super-resolution restoration, automated 3D surface retrieval (including clouds and the surfaces of the Earth, Mars and the Moon) and solid-earth deformation measurement (radar interferometry and SPOT), detection of PAH including human bacteria and viruses and astrobiological signatures on other planets, automated extraction of global environmental information (BRDF/albedo, aerosols, cloud-top heights, 13CH4), automated interpretation of aerial and space imagery for building and vegetation extraction, animated visualisation of global change, the exploitation of GPU, parallel, cluster and cloud processing technology and development of technology for big data analysis and sharing geographic knowledge through web-GIS. His recent open source software releases and open access data product releases include publishable DOIs from STFC-CEDA and ESA-PSA-GSF. Jan-Peter received a Ph.D. in Planetary Meteorology/Astronomy from University College London and multiple awards from NASA, UK Space Agency and the European Space Agency.
Pontus Stenetorp
large language models
Pontus is focused on Deep Learning research for Natural Language Processing (NLP) that includes machine reading comprehension, information extraction and semantics. Since 2019, Pontus has led research teams in partnership with Meta AI's (Facebook AI Research) known for its work in 3D computer vision, knowledge intensive and multilingual Natural Language Programming (NLP), and reinforcement learning (RL). Pontus received a PhD from the University of Tokyo and an MSc Eng from the Royal Institute of Technology in Sweden. He was awarded the Outstanding paper award at the 2017 Conference of the European Chapter of the Association for Computational Linguistics and a Facebook AI Research (FAIR) award in 2016.
Dr. Shah Islam
CLINICAL AI
Shah is a clinical neurologist specializing in applied AI for healthcare. He leads clinical trial management, governance and validation of AI products for the UK's National Health Service (NHS). He is also on the UK government's, Tessa Jowell Brain Matrix Committee, that collects genomic, pathological and imaging datasets for brain disease diagnosis and treatment. He is the co-creator of IBM's PowerAI platform for Radiology Imaging. He is a research fellow at University College London Hospital, a Clinical Fellow of Europe's leading cancer research institute, ICR, and a Nueroradiology Fellow at multiple UK hospital trusts. Shah received an MBMS in Medicine from Barts and a PhD in Advanced Brain Imaging from Imperial College London.
David Jones
BIOINFORMATICS
David is a world leading expert in Bioinformatics and Structural and Molecular Biology. His research and development aims to apply state-of-the-art machine learning techniques to problems in the life sciences, particularly those driven by the post-genomic era leading to the discovery of novel drugs. David's main research interests include protein structure prediction and analysis, simulations of protein folding, applications of Hidden Markov Models, transmembrane protein analysis, machine learning applications in bioinformatics, biological text mining, de novo protein design methodology, and genome analysis including the application of intelligent software agents. He is a part of the Google Deepmind team that developed the AlphaFold program and he has authored a number of bioinformatics applications including THREADER, GenTHREADER, PSIPRED and MEMSAT. He is also one of the original co-authors of the CATH protein structure classification scheme. David received his B.Sc. in Physics from Imperial College, M.Sc. in Biochemistry at King's College London and PhD in Computational Biology at University College London.
Benjamin Guedj
PAC-BAYES
Benjamin is a Professor of Machine Learning and Foundational AI at University College London, Founder and Scientific Director of Inria’s London Programme, and a Turing Fellow at The Alan Turing Institute. His research spans statistical learning theory, PAC-Bayesian analysis, computational statistics, and generalisation in deep learning
He has authored over 70 research publications in statistics and machine learning and has delivered more than 100 talks and keynotes at leading scientific venues. Benjamin serves in editorial and leadership roles across top AI journals and conferences, including JMLR, TMLR, NeurIPS, ICML, and AISTATS.
He holds a PhD in Mathematics from Sorbonne Université and has been awarded the title of Knight of the Order of the Academic Palms by the French Republic.
Chris Watkins
REINFORCEMENT LEARNING
Professor Chris Watkins is widely known for his contributions to the field of machine learning, particularly for his foundational work in reinforcement learning. One of his most notable contributions is the development of Q-learning, a model-free reinforcement learning algorithm, which has become one of the most influential algorithms in reinforcement learning and is widely used for training agents in environments where they must learn optimal behaviors over time. Chris' research interests include reinforcement learning, decision theory, machine learning algorithms, and the theory of learning systems. He has also worked on broader topics such as theoretical aspects of learning from data, learning control systems, and the application of these techniques in practical domains. Chris is a Professor of Machine Learning at Royal Holloway, University of London. Chris graduated from King's College, University of Cambridge with a PhD in Computer Science.
Paavo Pylkkänen
MACHINE CONSCIOUSNESS, Quantum neural networks
Paavo is a philosopher whose work lies in the intersection of quantum theory, consciousness and the mind. His theories influence fundamental research into quantum-based models of the brain, such as quantum neural networks. Drawing upon the work of quantum physicist, David Bohm, Paavo's ideas focus on how AI integrates with quantum mechanics and understandings of how consciousness could inspire future AI models. Paavos' work is increasingly becoming relevant for advanced AI models, particularly those concerning machine consciousness and self-awareness. Paavo is an Professor of Philosophy at the University of Skövde and a lecturer in theoretical philosophy at the University of Helsinki, where he has contributed to research involving consciousness studies, neuroscience, and quantum mechanics. He graduated with a PhD in Philosophy from University of Helsinki.
Kamil Mysliwiec
DISTRIBUTED SYSTEM ARCHITECTURE
Kamil is the inventor of NestJS, the Node.js framework for building enterprise-grade, server-side applications on top of TypeScript. With millions of downloads, NestJS is the world's fastest growing Node.js framework. Kamil is also a Google Developer Expert (GDE) at Google, specialising in Angular, the TypeScript, open-source web application framework. Kamil graduated from Politechnika Śląska w Gliwicach, Poland with an MSc in Computer Science.
Brian Love
DISTRIBUTED SYSTEM ARCHITECTURE
Brian is a Google Developer Expert specialising in Google's Angular TypeScript open-source web application framework. He is focused on using the very latest web technologies with proven coding methodologies to create sophisticated software platforms. He has a strong background in enterprise e-learning platforms. Brian has an MBA and BS in Computer Information Systems from the State of New York Polytechnic Institute. Brian is a long term volunteer of software development services to the Boy Scouts of America.
Mike Ryan
DISTRIBUTED SYSTEM ARCHITECTURE
Mike is a Developer Expert at Google specialising in Google's Angular TypeScript open-source web application framework. He created NgRx, the framework for building reactive applications in Angular. Ryan builds web applications across multiple industry enterprise verticals. He is an advocate for building web apps using functional reactive programming and serves as a core contributor to the NgRx project.
Mark Pieszak
DISTRIBUTED SYSTEM ARCHITECTURE
Mark is the world's second largest creator of Google's Angular Universal code, the TypeScript, open-source web application framework. He has been a part of Google's core Angular Universal team since 2015. He is also the head of developer relations between Microsoft’s .Net team and Google’s Angular team. Mark is the official owner and maintainer of ASP.NET Core & Angular Universal (and Vue.js) starters. Mark is a part of the core team of NestJS, the Node.js framework for enterprise-grade, server-side applications on top of TypeScript. Mark has been developing enterprise software for Fortune 100 companies for 20-years. He graduated from Drexel University, USA with a BSc in Information Systems and Technology.
Lt General David Leakey, CMG, CVO, CBE
Chief STRATEGY OFFICER
David was previously the Director of Operations for the UK's Ministry of Defence (MOD). He was also the Director General of the European Union's Military Staff and the Commander of the European Union's Military Force in Bosnia during a career as a senior military commander in global hotspots. David later served for seven years as the Gentleman Usher of the Black Rod in the UK's Houses of Parliament, overseeing the day-to-day operations of Parliament. He has since held senior advisory and executive roles in the industrial chemicals and gases industry, as well as in the enterprise software sector. In 1996, David received a CBE from Her Majesty the Queen for his work in stabilising and reconstructing post-war Bosnia and for his role as the UK's negotiator in the Bosnia peace talks. In 2006, he was awarded a CMG for his international work in the Balkans. David is a TV and radio commentator on parliamentary and international affairs and he lectures at Cambridge, Harvard, and Yale universities. David is a graduate of Law at Cambridge University.
Steven Kupka
ADVISOR, US GOVERNMENT
Steve is an expert on U.S. public policy and regulatory law focusing on international trade, foreign regulatory issues and foreign asset recovery. He works with U.S. governmental entities and corporations across multiple industry verticals on government contracts, public policy, and regulatory and government affairs. He also advises corporations and U.S. State agencies on their advocacy efforts before U.S. Congress regarding legislative and regulatory compliance and on various interagency rulings issued by the U.S. Office of Management and Budget. Steve's extensive government and public policy credentials include working for The White House Office of Management and Budget, the Federal Trade Commission and the U.S. House of Representatives. Steve graduated with a Bachelor of Science from George Washington University and a Doctor of Law (JD) from Creighton University School of Law.