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- Faculty
Director and Professor of Theoretical Neuroscience and Machine Learning
Maneesh Sahani
maneesh@gatsby.ucl.ac.ukResearch Interests
My research spans work in both single-neuron and population-level neural data modelling, inferential theories of perception and learning in the brain, and related areas of machine learning. Publications
Lecturer (to start in Feb 2025)
Research Interests
My research aims to develop efficient, reliable, and trustworthy machine learning models by understanding the theoretical foundations of deep learning and causal learning. Deep learning theory and causality present some of the most fascinating challenges in modern machine learning. Classical theories of statistical learning and optimization often struggle to explain the empirical success of deep learning algorithms or even provide reliable guidance on their behaviour. Furthermore, as models continue to scale to unprecedented levels, revealing emergent abilities, we need fundamentally new theories to explain their behavior. To tackle some of these questions, my research aims to 1) develop a unified theory of scaling and 2) understand the learning dynamics and generalization in deep learning. Meanwhile, Causality remains in its nascency, with formal mechanisms still emerging. My research will address open problems in causality, including establishing robust formalisms for causal reasoning and developing frameworks to evaluate causal models.
Professor of Machine Learning
Arthur Gretton
a.gretton@ucl.ac.ukResearch Interests
A key component of AI systems is the capacity to reason about distributions of real-world objects such as images, text or high-dimensional sequences. My research addresses two core aspects of this: the ability to learn structured models that generate faithful samples of such real-world entities; the ability to reason about and test properties of high-dimensional naturalistic distributions. Publications
Professor of Theoretical Neuroscience
Peter Latham
pel@gatsby.ucl.ac.ukResearch Interests
My research focuses on understanding how biologically realistic networks carry out computations. More specifically, my goal is to understand how connectivity and single neuron properties determine the ability of a network to perform computations, and how synaptic learning rules, single neuron properties, and patterns of input determine connectivity. Publications
Professor of Machine Learning
Peter Orbanz
porbanz@gatsby.ucl.ac.ukResearch interests
I study network and relational data, Bayesian nonparametrics, and exchangeability and symmetry properties. More generally, I am interested in all mathematical aspects of machine learning and pattern recognition. Publications
Lecturer
Agostina Palmigiano
a.palmigiano@ucl.ac.ukResearch Interests
Agostina’s group will leverage tools from statistical physics and nonlinear dynamics to build interpretable models with biological fidelity and explanatory power that facilitate a closed-loop interaction with experimental data at SWC. Her group will investigate i) the computational principles underlying sensory/motor processing and learning ii) how behavioural information (as choice, reward) across the cortex shapes area-specific computations, and iii) how interspecies differences in circuit architecture and dynamical regimes limit/facilitate learning. Publications
Group Leader in Machine Learning applied to Neuroscience (Jointly with SWC)
Research Interests
We aim to develop a mathematical toolkit suitable for analyzing and describing learning in the brain and mind. Publications
- Postdoctoral Fellows
Senior Clinical Research Fellow
Research Fellow in Theoretical Neuroscience
Research Fellow in Theoretical Neuroscience
Research Fellow
GCNU-SWC Research Fellow
George Dimitriadis
g.dimitriadis@ucl.ac.uk
Research Fellow in Theoretical Neuroscience
Research Fellow in Theoretical Neuroscience
Aniruddh Galgali
a.galgali@ucl.ac.uk
Research Fellow (Jointly with SWC)
Research Fellow in Theoretical Neuroscience
Research Fellow in Theoretical Neuroscience
- PhD Students
- Professional Services and Scientific Support Staff
Scientific Programme Manager
Contact for queries related to the Gatsby PhD programme, research collaborations and opportunities, proposals for joint workshops, outreach and public engagement activities, and anything related to scientific affairs.
Administrative Manager
Mike Sainsbury
m.sainsbury@ucl.ac.ukContact for queries related to managerial support, including HR, finance, and research management.
Administrative Assistant
Barry Fong
b.fong@ucl.ac.ukContact for general administration queries, including room bookings, mailing lists, events and external seminars, and alumni information update.
Research Engineer Fellow
Research Software Engineer
Nick Guilbeault
n.guilbeault@ucl.ac.uk
Research Physiotherapist
Research Assistant
Ivan Varela
ivan.varela@ucl.ac.uk
IT Relationship Manager (Jointly with SWC)
Richard Mumba
r.mumba@ucl.ac.uk
Computer Officer (Jointly with SWC)
Tom Hampson
t.hampson@ucl.ac.ukSenior Systems Administrator (Jointly with SWC)
Alex Martin
alex.martin@ucl.ac.uk
Head Research Engineer (Jointly with SWC)
Adam Tyson
adam.tyson@ucl.ac.uk
