- Faculty
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Director andÌýProfessor of Theoretical Neuroscience and Machine Learning
Research Interests
My 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.Ìý
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 LearningÌý
Research Interests
ÌýA key component of AIÌýsystems is the capacity to reason about distributions of real-world objects such as images, textÌýor high-dimensional sequences. My addresses two core aspects of this: the ability to learn structured models that generate faithful samples of such real-world entities;Ìýthe ability to reason about and test properties of high-dimensional naturalistic distributions.Ìý
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Professor of Theoretical Neuroscience
Research Interests
My 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.Ìý
Professor of Machine LearningÌý
Research interests
I 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.Ìý
Lecturer
Research 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.
Group Leader in Machine Learning applied to Neuroscience (Jointly with SWC)
Research InterestsÌý
We aim to develop a mathematical toolkit suitable for analyzing and describing learning in the brain and mind.Ìý
- Postdoctoral Fellows
Senior Clinical Research Fellow
Research Fellow in Theoretical Neuroscience
Research Fellow in Theoretical Neuroscience
Research Fellow
GCNU-SWC Research Fellow
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Research Fellow in Theoretical Neuroscience
Research Fellow in Theoretical Neuroscience
Aniruddh GalgaliÌý
a.galgali@ucl.ac.ukResearch Fellow (Jointly with SWC)
Research Fellow in Theoretical Neuroscience
Research Fellow in Theoretical Neuroscience
- PhD Students
theodore.moskovitz.19@ucl.ac.ukSahani Group
Sahani Group
Saxe Group
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clementine.domine.20@ucl.ac.ukSaxe Group
LathamÌýGroup
Orbanz Group
GrettonÌýGroup
Sahani Group
Samo Hromadka
samo.hromadka.21@ucl.ac.ukSahani Group
Gretton Group
Saxe Group
Ìý Ìý
Hugh Dance
hugh.dance.15@ucl.ac.ukOrbanz Group
Latham Group
Sahani/Gretton Group
Loek van Rossem
loek.rossem.22@ucl.ac.ukSaxe Group
Latham Group
Ìý Ìý
Barışcan Bozkurt
bariscan.bozkurt.23@ucl.ac.ukGretton Group
Valentina Njaradi
valentina.njaradi.23@ucl.ac.ukLatham Group
Nishil Patel
nishil.patel.21@ucl.ac.ukSaxe Group
vasco.portilheiro.23@ucl.ac.ukOrbanz Group
Marta Sartori
marta.sartori.17@ucl.ac.ukLatham Group
Vince Velkey
vince.velkey.23@ucl.ac.ukOrbanz Group
Jan Philipp Bauer
ÌýFirst Year
Mateo Amortegui Cifuentes
mateo.cifuentes.24@ucl.ac.ukFirst Year
Qianqian Feng
qianqian.feng@ucl.ac.ukFirst Year
Arielle Rosinski
arielle.rosinski.19@ucl.ac.ukFirst Year
Jakub Wornbard
jakub.wornbard.24@ucl.ac.ukFirst Year
Noé Hamou
noe.hamou.24@ucl.ac.ukFirst Year
(Joint PhD Programme)Ìý Ìý
EXternal
Ïã¸ÛÁùºÏ²Ê-DeepMind PhD Students:
UKRI CDT in Foundational AI
Project Research Intern
Abdalrhman Mostafa
Ìý
- 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.Ìý
Administrative Assistant
Barry Fong
b.fong@ucl.ac.ukContact for general administration queries, including room bookings, mailing lists, events and external seminars,Ìýand alumni information update.ÌýÌý
Ìý
Research Engineer Fellow
Research Software Engineer
Nick Guilbeault
n.guilbeault@ucl.ac.ukResearch Physiotherapist
Research Assistant
Ivan Varela
ivan.varela@ucl.ac.ukIT Relationship ManagerÌý(Jointly with SWC)
Richard Mumba
r.mumba@ucl.ac.ukÌý
Ìý
Computer OfficerÌý(Jointly with SWC)
Tom Hampson
t.hampson@ucl.ac.ukÌý
Ìý
Senior Systems AdministratorÌý(Jointly with SWC)
AlexÌýMartin
alex.martin@ucl.ac.ukHead Research EngineerÌý(Jointly with SWC)
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