Statistical Machine Learning Group

Research group

University College London

We are a research group at UCL’s Centre for Artificial Intelligence. Our research expertise is in data-efficient machine learning, probabilistic modeling, and autonomous decision making. Applications focus on robotics, climate science, nuclear fusion, and sustainable development.

If you are interested in joining the team, please check out our openings.

Discretization drift

SML Group in November 2022

Meet the Team

Principal Investigators

Avatar

Marc Deisenroth

DeepMind Chair of Machine Learning and Artificial Intelligence

Machine learning, Gaussian processes, Reinforcement learning, Robotics, Meta learning

Administrators

Avatar

Alice Winters

Administrator

Research Fellows

Avatar

Yasemin Bekiroğlu

Senior Research Fellow

Machine learning, Robotics

Avatar

So Takao

Senior Research Fellow

Machine learning, Climate science, Fluid mechanics, Geometric mechanics

PhD Students

Avatar

Jake Cunningham

PhD Student

Machine learning, Gaussian processes, Earth systems modelling

Avatar

Yicheng Luo

PhD Student

Meta-learning, Probabilistic Programming, Reinforcement Learning, Deep Generative Models

Avatar

Samuel Cohen

PhD Student

Machine learning, Optimal transport, Gaussian processes

Avatar

Mihaela Rosca

PhD Student

Generative models, Reinforcement learning, Natural language processing, Scalable and safe machine learning.

Avatar

Sicelukwanda Zwane

PhD Student

Machine learning, Robotics, Transfer Learning, Reinforcement Learning

Avatar

Daniel Ramos Macedo Antunes De Souza

PhD Student

Machine learning, Gaussian processes

Avatar

Jackie Kay

PhD Student

Sociotechnical AI, Robotics

Avatar

Jacob Menick

PhD Student

Machine learning, Generative models, Large-scale deep learning, Variational inference, Information theory, Sparsity

Avatar

Mathieu Alain

PhD Student

Machine learning, Graph neural networks, Diffusion models, PAC-Bayes

Project Students

Avatar

Eirik Baekkelund

MSc Project Student

Avatar

Jeffery Wei

MSc Project Student

Avatar

Justin Koo

UG Project Student

Avatar

Kaloyan Rusev

UG Project Student

Avatar

Max Norman

MSc Project Student

Avatar

Rafael Anderka

MSc Project Student

Visitors

Avatar

Fabian Paischer

PhD Student @ JKU Linz and ELLIS Exchange Student

Avatar

Len Hirata

Exchange Student

Avatar

Marc Killpack

Associate Professor at Brigham Young University

Affiliates

Avatar

Christina Winkler

PhD Student @ TU Munich

Avatar

Fabian Paischer

PhD Student @ JKU Linz and ELLIS Exchange Student

Avatar

Giovanni Franzese

PhD Student @ TU Delft and ELLIS Exchange Student

Avatar

Mirgahney H. Mohamed

PhD Student

Computer vision, Uncertainty estimation

Avatar

Oscar Key

PhD Student

Probabilistic modeling, Approximate inference, Machine learning, Climate science

Avatar

Rendani Mbuvha

DeepMind Academic Research Fellow in AI @ QMUL

Avatar

Vignesh Gopakumar

PhD Student

Machine learning, Nuclear fusion, Bayesian optimization

Alumni

Avatar

Alexander Terenin

PhD (10/2018-11/2021)

Machine learning, Bayesian theory, Geometric machine learning

Avatar

Steindór Sæmundsson

PhD (11/2016-11/2021)

Machine learning, Gaussian processes, Meta learning, Structural priors, Variational inference

Avatar

K. S. Sesh Kumar

Research Associate

Machine learning, Discrete optimization, Differential privacy, Submodularity

Avatar

Riccardo Moriconi

PhD (10/2016-02/2021)

Machine learning, Gaussian processes, Bayesian optimization

Avatar

Janith Petangoda

PhD Student (10/2017-07/2022)

Machine learning, Meta learning, Differential geometry, Reinforcement learning

Avatar

Hugh Salimbeni

PhD (10/2015-10/2019)

Machine learning, Deep probabilistic models, Approximate inference

Avatar

James Wilson

PhD Student (10/2017-08/2022)

Machine learning, Gaussian processes, Bayesian optimization, Practical approximate inference

Avatar

Sanket Kamthe

PhD (10/2016-03/2021)

Machine learning, Reinforcement learning, Optimal control, Copulas

Avatar

Benjamin Chamberlain

PhD (10/2014-08/2018)

Machine learning, Community detection, Representation of graphs, Hyperbolic embeddings

Avatar

Simon Olofsson

PhD (06/2016-03/2020)

Machine learning, Bayesian optimization, Mechanistic models, Model discrimination

Avatar

Sophie Ostler

Administrator (08/2021-08/2022)

Recent Blog Posts

Recent Publications