Supervisory pool
The academics available to supervise QRT Labs studentships, by department. In any given year some of them will not be taking on a new student. If the person you want to work with is not listed, see Admissions.
Computing
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Wenjia Bai
Wenjia develops deep learning methods for biomedical image analysis, in particular cardiac imaging, with tools deployed across large population studies such as UK Biobank.
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Amir Bar
Amir works on self-supervised learning and visual world models, teaching machines to perceive, reason and act from visual data with little or no supervision.
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Francesco Belardinelli
Francesco works on safe AI through formal methods: safe reinforcement learning, logic-based languages for AI, the specification and verification of multi-agent systems, and strategic reasoning under imperfect information.
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Tolga Birdal
Tolga works on topological deep learning, geometric machine learning and 3D computer vision, and on the theoretical limits of geometric computing and deep learning.
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Roberto Bondesan
Roberto works on quantum computing and on machine learning applied to quantum physics, in particular quantum algorithms for simulating quantum systems and learned approaches to quantum error correction.
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Joey Bose
Joey works on generative modelling and differential geometry for machine learning, with a current emphasis on geometric generative models for scientific applications.
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Cristian Cadar
Cristian works on practical techniques and tools for improving the reliability and security of software systems, spanning software engineering, computer systems and software security.
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Oana-Maria Camburu
Oana-Maria works on alignment and AI safety, in particular on measuring and improving the reliability of chain-of-thought explanations for overseeing advanced models.
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Giuliano Casale
Giuliano works on quality assurance, fault tolerance and resource management in distributed software systems, using machine learning and applied probability to model computer systems.
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Soteris Demetriou
Soteris works on systems security and privacy, analysing operating systems, protocols, machine learning models and side channels to make AI-integrated systems secure, private by design and accountable.
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Jiankang Deng
Jiankang works on multi-modal foundation models and generative modelling of the physical world: perceiving and synthesising complex sensory data and digital assets.
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Alastair Donaldson
Alastair works on formal analysis, software testing and programming-language techniques for improving software reliability, with a particular focus on software for high-performance systems.
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Hongxiang Fan
Hongxiang works at the intersection of hardware systems and machine learning, on efficient and dependable systems for deploying AI.
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Aris Filos-Ratsikas
Aris works at the intersection of theoretical computer science and artificial intelligence, on algorithms and computational complexity for social choice, fair division, competitive markets, game theory and mechanism design.
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William Knottenbelt
William works on the application of mathematical modelling to real systems, with a particular focus on cryptocurrencies, blockchains and distributed ledgers.
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Marios Kogias
Marios works at the intersection of operating systems, networking and distributed systems, building datacentre software with tail-tolerance, fault-tolerance and confidentiality guarantees on emerging hardware and in-network compute.
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Francesco Leofante
Francesco works on AI for decision making, with an emphasis on safety, explainability and alignment.
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Alessio Lomuscio
Alessio develops methods and tools for the verification of AI systems so that they can be deployed safely and securely, from neural networks and robust machine learning to autonomous systems and neuro-symbolic verification.
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Wayne Luk
Wayne leads research in custom computing and in programming languages and systems: reconfigurable hardware and the tools that target it.
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Dario Paccagnan
Dario works on the modelling, analysis and control of multi-agent systems in which self-interested agents take autonomous decisions, drawing on game theory, optimisation and control.
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Panos Parpas
Panos works on mathematical optimisation, algorithms as dynamical systems, computational mathematics, scientific computing and computational finance.
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Peter Pietzuch
Peter works on scalable, reliable and secure data-intensive software systems, with a particular interest in performance, data management and security.
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Francesca Toni
Francesca works on computational logic and argumentation, and on their use for explainable artificial intelligence.
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Calvin Tsay
Calvin works on optimisation and learning methods for sequential decision making under uncertainty, with a focus on mixed-integer programming and statistical learning.
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Lluís Vilanova
Lluís heads the software/hardware and secure systems group and co-leads the Large-Scale Data and Systems group, working where systems software meets hardware.
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Stefanos Zafeiriou
Stefanos works on statistical machine learning and its application to computer vision: face and body analysis, deformable object fitting and tracking, and human behaviour analysis.
Mathematics
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Nikolas Kantas
Nikolas develops numerical methods for complex problems in inference, optimisation, filtering and control, in particular particle filtering, sequential Monte Carlo and Markov chain Monte Carlo.
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Johannes Muhle-Karbe
Johannes works on optimal trading with frictions and on market microstructure: how transaction costs, price impact and liquidity shape portfolio choice and markets.
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Eyal Neuman
Eyal works on probability and stochastic processes, with a focus on mathematical finance, interacting particle systems and stochastic analysis.
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Greg Pavliotis
Greg works on interacting particle systems, algorithms for inference, sampling and optimisation, Fokker–Planck equations, statistical dynamics and the multiscale analysis of Markov processes.
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Almut Veraart
Almut works on mathematical statistics for stochastic processes, including continuous-time modelling of time series, stochastic volatility and ambit stochastics, with applications to high-frequency financial data, energy markets and extreme event prediction.
Business School
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Marcin Kacperczyk
Marcin works on carbon risk and sustainable finance, mutual fund performance and the efficiency of financial markets.
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Robert Kosowski
Robert works on asset management and risk management, including machine learning, hedge and mutual fund performance, derivative trading strategies and economic forecasting.
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Alexander Michaelides
Alexander works on macro-finance and household finance: heterogeneous-agent models, portfolio choice and asset pricing.
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Wolfram Wiesemann
Wolfram works on decision-making under uncertainty, with applications to supply chains, healthcare and energy.