Academic Profiles | Spin-Out Profiles
Phil Blunsom is a Principle Scientist at DeepMind, and an Associate Professor in the Department of Computer Science. His research groups work at the intersection of machine learning and computational linguistics in pursuit of algorithms capable of understanding natural language.
Paula Boddington is a Senior Researcher in the Department of Computer Science at the University of Oxford, working on ethical issues in artificial intelligence, and Senior Research Fellow in the School of Nursing and Midwifery at Cardiff University, where she works on ethical issues concerning people with dementia. She is a philosopher, with degrees also in social sciences and law, who has specialised in working in interdisciplinary areas of ethics, law, and social policy. She has published work in areas including medical ethics and genomics research as well as AI, with a particular focus on the ethical and social implications of developments in technology. She has also held positions at Bristol University and the Australian National University. In 2015, together with Prof Michael Wooldridge and Prof Peter Millican, she received a grant for Beneficial AI from the Future of Life Institute, and has recently published a book, Towards a Code of Ethics for Artificial Intelligence (Springer, 2017).
David Clifton is with the Department of Engineering Science of the University of Oxford. He is a Research Fellow of the Royal Academy of Engineering, and leads the Computational Health Informatics (CHI) Laboratory, which focuses on creating healthcare interventions based on AI. A graduate of Oxford’s Department of Engineering Science, David trained in information engineering; his research focuses on the development of machine learning for tracking the health of complex systems, with an emphasis on healthcare technologies that are deployed within the UK National Health Service. David’s research has been awarded 21 scholarships and prizes, including a Grand Challenge award from the UK Engineering and Physical Sciences Research Council, which is a personal award that provides long-term strategic support for nine “future leaders in healthcare”. In 2017, his lab of 27 researchers opened a second site in China, with support from the Chinese government.
Kenneth Cukier is a Senior Editor at The Economist. He is coauthor of “Big Data” with Viktor Mayer-Schönberger of the Oxford Internet Institute, which was a NYT Bestseller translated in over 20 languages. Kenn is an associate fellow at Oxford’s Said Business School, where he has run a series on AI and business. He is a trustee of Chatham House and a member of the Council on Foreign Relations.
Allan Dafoe is an Assistant Professor of Political Science at Yale University and Co-Director of the Governance of AI Program at the University of Oxford’s Future of Humanity Institute. His current research examines the governance of artificial intelligence, focusing especially on the international political and security dimensions. His prior research examined the causes of great power war and the liberal peace, as well as statistical methods for causal inference. http://www.allandafoe.com/
Peter Donnelly is Director of the Wellcome Centre for Human Genetics and Professor of Statistical Science at the University of Oxford, and CEO of Genomics plc. Peter is an international leader in statistical and human genetics. He has played a leading role in many of the major national and international genetics projects, including the HapMap project (the successor to the human genome project) and the Wellcome Trust Case Control Consortium (a large international consortium studying the genetic basis of more than 20 common human diseases and conditions in over 60,000 people), and his group have developed widely-used computational statistical methods for genetic and genomic data. Genomics plc develops and applies sophisticated methods, based on statistics and machine learning, to analyse an extensive database linking human genetic variation with health outcomes and other traits, to yield novel insights into human biology and improve drug discovery and the delivery of healthcare.
Peter led the Royal Society’s policy project on Machine Learning, which considered the potential for and likely medium-term impact of machine learning. He is a Fellow of the Royal Society and of the Academy of Medical Sciences and is an Honorary Fellow of the Institute of Actuaries. Peter is a Fellow of St Anne’s College, and an Honorary Fellow of Balliol College, in Oxford. He has received numerous awards and honours for his research. His TED talk has been downloaded over a million times.
Yarin Gal is an Associate Professor of Machine Learning at the University of Oxford Computer Science department, holding positions also as a Tutorial Fellow in Computer Science at Christ Church, Oxford, a Visiting Researcher position at the University of Cambridge, as well as a Turing Fellowship at the Alan Turing Institute, the UK’s national institute for data science. He obtained his PhD from the Machine Learning group at the University of Cambridge, and was a Research Fellow at St Catherine’s college, Cambridge.
Georg Gottlob is Professor of Informatics at Oxford and at TU Wien. His interests include AI, knowledge representation, logic and complexity, problem decompositions, and, on the more applied side, web data extraction, and database queryprocessing. Gottlob has received the Wittgenstein Award (Austria) and the Ada Lovelace Medal (UK)., He is an ACM Fellow, an ECCAI Fellow, a Fellow of the Royal Society, and a member of the Austrian and the German academies of of Sciences, and the Academia Europaea. He chaired the Program Committees of IJCAI 2003 and ACM PODS 2000. He was the main founder of Lixto, a web data extraction software company, which was acquired by McKinsey in 2013. Gottlob was awarded an ERC Advanced Investigator’s Grant for the project “DIADEM: Domain-centric Intelligent Automated Data Extraction Methodology”. Based on results of this project, he co-founded Wrapidity Ltd, a company that specialises in fully automated web data extraction that was recently acquired by the Meltwater Media Intelligence corporation.
Will Hutton is a political economist, writer and journalist, and is currently both Principal of Hertford College at the University of Oxford and Chair of the Steering Group of the Big Innovation Centre, which he co-founded, and co-chairs its Purposeful Company Taskforce
Will writes a regular column for the Observer and occasionally for the Financial Times, and also appears regularly on television and radio commentating on economic, financial and business issues. He is regularly called on to advise senior political and business figures as well as public and private institutions. He began his career in the City before moving to the BBC where he was Economics Correspondent for Newsnight. Will spent four years as Editor-in-Chief of The Observer, for which he continues to write a weekly column. He was Chief Executive of The Work Foundation from 2000 to 2008.
Will’s many books include ‘The State We’re In’ (1996), ‘Them and Us: Changing Britain – why we need a fair society’ (2011), and ‘How Good We Can Be: Ending the Mercenary Society and Building a Great Country’ (2015). Saving Britain, which he is co-writing with Andrew Adonis, is to be published in May of this year.
Marina Jirotka is Professor of Human Centred Computing in the Department of Computer Science at the University of Oxford. Her expertise involves co-producing user and community requirements and human computer interaction, particularly for collaborative systems (CSCW). She has been at the forefront of recent work in Responsible Innovation (RI) in the UK and the European Union. She leads an interdisciplinary research group investigating the responsible development of technologies that are more responsive to societal acceptability and desirability. Her current projects involve a range of topics in RI: she leads the Responsible Innovation initiative for Quantum Technologies; Co-PI on EPSRC Digital Economy TIPS project, Emancipating Users Against Algorithmic Biases for a Trusted Digital Economy (UnBias); and co-directing the development of an Observatory for Responsible Research and Innovation in ICT (ORBIT) that will provide RRI services to ICT researchers. Marina is a Chartered IT Professional of the British Computer Society and sits on the ICT Ethics Specialist Group committee. She has published widely in international journals and conferences on e-Research, Human Computer Interaction, Computer Supported Cooperative Work and Requirements Engineering.
Lucas Kello is Senior Lecturer in International Relations at Oxford University. He serves as Director of the Centre for Technology and Global Affairs, a major research initiative on the impact of modern technology on international relations, government, and society. He is also co-Director of the interdisciplinary Centre for Doctoral Training in Cyber Security at the Department of Computer Science. His recent publications include The Virtual Weapon and International Order (Yale University Press) and “The Meaning of the Cyber Revolution: Perils to Theory and Statecraft” in International Security.
Andrew Ker is Associate Professor of Computing Security in the Computer Science Department at the University of Oxford, as well as a Tutorial Fellow at University College. Within the field of computer security, his specialities are steganography and steganalysis — the concealment of information inside an innocuous channel, and its detection — and more generally on the theory of detecting a signal which is actively trying to evade detection. His papers on the theory and practice of steganography have won numerous awards, most recently at last year’s ACM Workshop in Information Hiding and Multimedia Security. He is an associate editor for IEEE Transactions on Information Forensics & Security.
Daniel Kroening has been an academic at the Computer Science Department at the University of Oxford for 10 years; his work focuses on methods for automating the analysis and construction of software systems. He has co-founded Diffblue Ltd., a University spin-out that commercialises tools that automate programming tasks.
Nic Lane is an Associate Professor in the Computer Science Department at the University of Oxford. Before joining Oxford, he held dual appointments at University College London (UCL) and Nokia Bell Labs; at Nokia, as a Principal Scientist, Nic founded and led DeepX – an embedded focused deep learning unit at the Cambridge location. Nic specializes in the study of efficient machine learning under computational constraints, and over the last three years has pioneered a range of embedded and mobile forms of deep learning. This work formed the basis for his 2017 Google Faculty Award in machine learning. Nic’s work has received multiple best paper awards, including ACM/IEEE IPSN 2017 and two from ACM UbiComp (2012 and 2015). This year he will serve as the PC Chair of ACM SenSys 2018. Prior to moving to England, Nic spent 4-years at Microsoft Research based in Beijing as a Lead Researcher. He received his PhD from Dartmouth College in 2011. More information about Nic is available from http://niclane.org.
Paul Leeson is Professor of Cardiovascular Medicine at the University of Oxford, a Fellow at Wolfson College and Head of the Oxford Cardiovascular Clinical Research Facility. He is also a Consultant Cardiologist at the John Radcliffe Hospital, where he provides expertise in Cardiovascular Imaging and Hypertension. He heads the Preventive Cardiology Research Group, which is supported by funding from the British Heart Foundation, Wellcome Trust and National Institute of Health Research, and has generated insights into the very early cardiac and vascular changes that occur in young people predisposed to heart disease. This work required development of novel computational approaches to quantify cardiovascular images and realisation of the potential medical impact of these technologies led to the spin-out of Ultromics to translate these ideas into image analysis software for use in the clinic.
Thomas Lukasiewicz is a Professor of Computer Science in Oxford University’s Department of Computer Science since 2010. Prior to this, he was holding a prestigious Heisenberg Fellowship by the German Research Foundation (DFG), affiliated with the University of Oxford, TU Vienna, Austria, and Sapienza University of Rome, Italy. His research interests are in artificial intelligence (AI) and information systems, including especially machine/deep learning, personalised search and recommender systems, natural language processing and question answering, knowledge representation and reasoning, uncertainty in AI, the (Social/Semantic) Web, ontology-based data access, and databases. Among his recent awards are the AIJ Prominent Paper Award 2013 and the RuleML 2015 Best Paper Award. He is area editor for the journal ACM TOCL, associate editor for the journals JAIR and AIJ, and editor for the journal Semantic Web.
Paul Newman is the BP Professor of Information Engineering at the University of Oxford and an EPSRC Leadership Fellow. He heads up the Mobile Robotics Group within the Department of Engineering Science which enjoys a world leading reputation in mobile autonomy – developing machines and robots which map, navigate through and understand their environments. He is a founder of Oxbotica with Prof. Ingmar Posner. In 2014 Prof. Newman became a Fellow of the Royal Academy of Engineering. In 2015 he was awarded Fellowship of the Institution of Engineering and Technology (IET). Professor Newman has also has been elected a Fellow of the IEEE for his contributions to robot navigation.
Michael A Osborne (DPhil Oxon) works to develop machine intelligence in sympathy with societal needs. His work in Machine Learning has been successfully applied in diverse contexts, from aiding the detection of planets in distant solar systems to enabling self-driving cars to determine when their maps may have changed due to roadworks. Dr Osborne also has deep interests in the broader societal consequences of machine learning and robotics, and has analysed how intelligent algorithms might soon substitute for human workers.
Dr Osborne is the Dyson Associate Professor in Machine Learning, a co-director of the Oxford Martin programme on Technology and Employment, an Official Fellow of Exeter College, and a co-director of the EPSRC Centre for Doctoral Training in Autonomous Intelligent Machines and Systems, all at the University of Oxford.
Stephen Roberts is the RAEng-Man Professor of Machine Learning at the University of Oxford. He is a Fellow of the Royal Academy of Engineering, the Royal Statistical Society, the Institute of Physics and is a Faculty Fellow of the Alan Turing Institute. Stephen is Director of the Oxford-Man Institute of Quantitative Finance, founding-Director of the Oxford Centre for Doctoral Training in Autonomous Intelligent Machines and Systems (AIMS) and co-founder of the University Machine Learning spin-out company, Mind Foundry. He has published widely, having over 300 publications which have accrued some 19,000 citations. Stephen’s interests lie in methods for machine learning and data analysis in complex problems, especially those in which noise and uncertainty abound. His current major interests include the application of machine learning to huge astrophysical data sets (for discovering exoplanets, pulsars and cosmological models), biodiversity monitoring (for detecting changes in ecology and spread of disease), smart networks (for reducing energy consumption and impact), sensor networks (to better acquire and model complex events) and finance (to provide better insight into time-series and aggregate large numbers of unstructured information streams).
Alex Rogers is a Professor of Computer Science at the University of Oxford where he develops and applies principled artificial intelligence, machine learning and agent-based approaches within physical sensor systems to address real-world problems focusing on sustainability. His recent work has addressed future energy systems, such as the smart grid, citizen science platforms, and environmental monitoring, and typically involves the real-world deployment of novel approaches in low-cost devices, smartphones or the cloud.
Mihaela van der Schaar is Man Professor at University of Oxford, Department of Engineering Science and Oxford Man Institute, and a Faculty Fellow at the Alan Turing Institute. Prior to this Mihaela was a Chancellor’s Professor at University of California Los Angeles (UCLA). Her research expertise is in developing novel machine learning theory and methods for medicine.
Sir Nigel Shadbolt is Professor of Computer Science at the University of Oxford and Principal of Jesus College. With over 500 publications he researches and publishes on computer science, artificial intelligence, open data and web science. He is currently Principal Investigator on a £6.14M EPSRC funded Programme Grant researching the theory of social machines – Web scale problem solving systems comprising large numbers of humans and computers.
He is chairman of the Open Data Institute which he co-founded with Sir Tim Berners-Lee. Both of them leading the development of the highly acclaimed data.gov.uk website. In 2010, he joined the UK government’s Public Sector Transparency Board — overseeing Open Data releases across the public sector. He is a Fellow of the Royal Society, the Royal Academy of Engineering, a Fellow and former President of the British Computer Society. He was knighted in 2013 for ‘services to science and engineering’.
Mariarosaria Taddeo is Research Fellow at the at the Oxford Internet Institute, University of Oxford, where she is the Deputy Director of the Digital Ethics Lab, and is Faculty Fellow at the Alan Turing Institute.Her primary research interests are Digital Ethics, Philosophy of Information, and Philosophy of Technology, with a particular focus on Ethics of Cyber Conflicts and Cybersecurity. She has published extensively on issues like trust among artificial agents, cyber conflicts, digital ethics, and ethics of AI. Mariarosaria has been awarded The Simon Award for Outstanding Research in Computing and Philosophy (2010) and the World Technology Award for Ethics (2013) in recognition of the significance of her work.
Since 2016, Mariarosaria serves as editor-in-chief of Minds & Machines (Springer) and of Philosophical Studies, Book Series (Springer). She is also Fellow of the Council on the Future of Cybersecurity of the World Economic Forum.
Niki Trigoni is Professor at the Oxford Department of Computer Science, heading the Cyber Physical Systems Group. Her interests lie in localisation protocols for GPS-denied environments using a variety of sensor modalities, including inertial, visual, magnetic and radio signals. She has applied her work to a number of application scenarios, including agile asset monitoring for construction sites, mobile autonomy with humans and robots, and track worker localisation for safety and efficiency. Trigoni is also Director of the CDT on Autonomous and Intelligent Machines and Systems (2014-2022) and Founder of the Navenio Oxford spin-out.
Sandra Wachter is a lawyer and Research Fellow in Data Ethics, AI, robotics and Internet Regulation/cyber-security at the Oxford Internet Institute and the Alan Turing Institute in London as well as a member of the Law Committee of the IEEE. She serves as a policy advisor for governments and NGO’s around the world on regulatory and ethical questions concerning emerging technologies. Prior to joining the OII, Sandra worked at the Royal Academy of Engineering and at the Austrian Ministry of Health.
Shimon Whiteson is an Associate Professor in the Department of Computer Science at the University of Oxford, and a tutorial fellow at St. Catherine’s College. He is also the CEO of Morpheus Labs, an Oxford spin-out company. His research focuses on developing machine learning methods that can synthesise complex control policies from data, with applications in information retrieval, robotics, and self-driving cars.
Michael Wooldridge is a Professor of Computer Science and Head of Department of Computer Science at the University of Oxford. He has been an AI researcher for more than 25 years, and has published more than 350 scientific articles on the subject. His research focusses on the problem of building computers than can effectively and autonomously cooperate with each other to solve complex problems. He is a Fellow of the Association for Computing Machinery (ACM), the Association for the Advancement of AI (AAAI), and the European Association for AI (EurAI). From 2014-16, he was President of the European Association for AI, and from 2015-17 he was President of the International Joint Conference on AI (IJCAI).
Andrew Zisserman leads the Visual Geometry Group in the Department of Engineering Science. Andrew’s research interests include visual recognition, image retrieval, multi-view geometry, and other aspects of computer vision. Some of Andrew’s papers are amongst the most highly cited works in the field. His contributions received multiple awards at the top computer vision conferences including three Marr prizes at the International Conferences on Computer Vision. He has published several books including “Visual Reconstruction” (with Andrew Blake) and “Multiple View Geometry in Computer Vision” (with Richard Hartley). He is a fellow of the Royal Society. You can read more about the work of his group here.