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UCL Centre for Artificial Intelligence

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Find out more about the staff working at the AI Centre

David Barber

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David is the Director of UCL's Centre for Artifical Intelligence. David has broad research interests related to the application of probabilistic modelling and reasoning

UCL Centre for Artificial Intelligence: David Barbar

Marc Deisenroth

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Marc is the Deputy Director of UCL's Centre for Artifical Intelligence. Marc's research interests include data-efficient machine learning, probabilistic modeling, reinforcement learning and Gaussian processes

Marc Deisenroth

Lourdes Agapito

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UCL Centre for Artificial Intelligence: Lourdes Agapito

Peter Bentley

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Peter's research interests include evolutionary computation, agent-based modelling, spiking neural systems, and other bio-inspired systems applied to diverse applications including design, music, and teamwork.

UCL Centre for Artificial Intelligence: Peter Bentley

Gabriel Brostow

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UCL Centre for Artificial Intelligence: Gabrial Browstow

Ingemar Cox 

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Ingemar's research is in the application of Artificial Intelligence, machine learning, and statistical natural language processing to large data sets of digital footprints, e.g. Web query logs and Twitter, to infer information about the health of both individuals and populations. At a population level, we have estimated prevalence and virulence of a disease, and effectiveness of national public health interventions (vaccines and changes to law). Our software and algorithms for estimating the prevalence of influenza have been adopted by Public Health England as part of its influenza surveillance programme.

UCL Centre for Artificial Intelligence: Ingemar Cox

Thore Graepel

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UCL Centre for Artificial Intelligence: Thore Graepel

Edward Grefenstette

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Ed is interested in teaching machines to learn to reason efficiently and effectively, with a focus on topics including grounded language learning, meta-learning, reinforcement learning, and program synthesis.

Edward Grefenstette

Benjamin Guedj

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Benjamin has broad interests in statistical learning theory and machine learning, with a focus on PAC-Bayes learning, computational statistics, generalisation bounds for deep learning, data-efficient machine learning.

Benjamin Guedj

Mark Herbster

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Mark's research interests are Machine Learning Theory with a focus on online learning, matrix completion and semi-supervised learning.

UCL Centre for Artificial Intelligence: Mark Herbster

Anthony Hunter

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Tony's research interests are in machine reasoning including for argumentation, persuasion, and commonsense reasoning.

Anthony Hunter

Simon Julier

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UCL Centre for Artificial Intelligence: Simon Julier

Iasonas Kokkinos

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Iasonas' research interests are Computer vision and deep learning, in particular shape modeling, unsupervised learning and multi-task learning

Iasonas Kokkinos

Matt Kusner 

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Matt’s work aims to design simple machine learning models tailored to the constraints of the problem at hand, particularly in causal inference, private learning, and chemical design.

Matt Kusner

Niloy Mitra

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Niloy's research interests are Geometry processing, data-driven shape analysis, neural rendering and geometric deep learning

UCL Centre for Artificial Intelligence: Niloy Mitra

Dean Mohamedally

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Dean is a Principal Teaching Fellow and Director for the UCL Industry Exchange Network's undergraduate projects (Cycle 1) programme. He is interested in the application of AI in projects for his students (450+) and AI in Education. This includes AI topics for hackathons and large team projects that explore the state of the art in applied AI. He has led, supervised and deployed numerous real world industry AI related systems for charities and healthcare as well as larger organisations such as the NHS, IBM and Microsoft.

UCL Centre for Artificial Intelligence: Dr Dean Mohamedally

Brooks Paige

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Brooks is interested in interpretable and explainable models in machine learning, and works on approximate Bayesian inference, deep generative models, and probabilistic programming.

Brooks Paige

Massimiliano Pontil

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Massimiliano has broad research interests in the areas of machine learning theory and algorithms, with a focus on statistical learning theory, multitask learning and algorithmic fairness.

UCL Centre for Artificial Intelligence: Massimiliano Pontil

Sebastian Riedel

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Sebastian works on teaching machines how to read and reason, in the intersection of Natural Language Processing (NLP) and Machine Learning.

UCL Centre for Artificial Intelligence: Prof Sebastian Riedel

Tim Rocktäschel

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Tim's focus is on reinforcement learning agents that quickly adapt and systematically generalize to new environments through intrinsic reward, neural-symbolic models, and transfer of domain knowledge from external resources like natural language texts and knowledge bases.

AI Centre: Tim Rocktäschel

John Shawe-Taylor

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John's interests range from statistical learning theory through applications of machine learning methods in diverse domains to reinforcement learning and artificial intelligence more generally.

UCL Centre for Artificial Intelligence: J Shawe-Taylor

Pontus Stenetorp

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Pontus leads the Natural Language Processing group (https://nlp.cs.ucl.ac.uk/) and his research interests lie primarily in the intersection between human language and machine learning, with applications such as machine reading comprehension and information extraction.

Pontus Stenetorp

Danail Stoyanov

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Dan is a Professor of Robot Vision and Director of the Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS). His work has focused on the development of algorithms for understanding surgical video in a variety of surgical specialisations and more recently to linking such AI capabilities to hardware robotics.

Danail Stoyanov

Jun Wang

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Jun's research interests are Multiagent learning, recommender systems and information retrieval

UCL Centre for Artificial Intelligence: Jun Wang

Emine Yilmaz

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Emine is interested in applications of AI, machine learning and natural language processing to various problems such as conversational system design and evaluation, personalization, recommendation, inferring users' interests&needs, fake news detection, measuring and correcting bias in machine learning algorithms and the broad area of information access and retrieval.

UCL Centre for Artificial Intelligence: Emine Yilmaz

Shi Zhou

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Shi's research interests are Online Social Networks, Cyber Security, Network Science, Internet Routing and Cloud Computing, with a particular focus on bot/fraud detection and information diffusion in online social media.

UCL Centre for Artificial Intelligence: Dr Shi Zhou


The AI Centre is also host to the UKRI Centre for Doctoral Training in Foundational Artificial intelligence


List of current students

List of potential supervisors