CaRAML - Cambridge Research & Applications in Machine Learning


CaRAML is a community of machine learning and artificial intelligence researchers at the University of Cambridge.


Follow Us Join CaRAML Slack

PhD Students

Avatar

Aditya Ravuri

PhD Student

Gaussian Processes, Probabilistic Machine Learning, Dimensionality Reduction, Single-Cell Data Analysis

Avatar

Alex Norcliffe

PhD Student

Neural Differential Equations, Generative Models, Diffusion Models, Feature Selection, Transfer Learning

Avatar

Andrei Margeloiu

PhD Student

Data-efficient machine learning, Feature Selection, High-dimensional data

Avatar

Ang Li

PhD Student

Computational Biology, Genomics, Precision Medicine, Machine Learning

Avatar

Arian Jamasb

PhD Student

Computational Biology, Structural Biology, Machine Learning, Deep Learning

Avatar

Chaitanya K. Joshi

PhD Student

Geometric Deep Learning, Graph Neural Networks

Avatar

Charles Harris

PhD Student

Artificial Intelligence, Structural Biology, Drug Discovery, Generative models, Self-supervised Learning

Avatar

Cris Bodnar

PhD Student

Geometric Deep Learning, Topological Deep Learning, Nonlinear Dynamics

Avatar

Dmitry Kazhdan

PhD Student

Explainable AI, Interpretable Machine Learning

Avatar

Dobrik Georgiev

PhD Student

Algorithmic reasoning, (Hyper)GNNs, Explainability

Avatar

Felix L. Opolka

PhD Student

Graph Representation Learning, Bayesian Inference

Avatar

Iulia Duta

PhD Student

Graph Neural Networks, Machine Learning, Deep Learning

Avatar

Lucie Charlotte Magister

PhD Student

Explainability, Interpretability, Graph Neural Networks

Avatar

Paul M. Scherer

PhD Student

Graph representation learning, ML framework design, Computational biology

Avatar

Pietro Barbiero

PhD Student

Explainable AI, Neural Symbolic AI, Precision Medicine

Avatar

Ramon Viñas Torné

PhD Student

Bioinformatics, Precision medicine, Social good, Unsupervised learning, Deep learning

Avatar

Simon Mathis

PhD Student

Artificial Intelligence, Biotechnology, Protein Design, Environmental Applications, Quantum Physics

Post-doctoral Researchers

Avatar

Nikola Simidjievski

Senior Research Associate

Machine Learning, ML applications in medicine, biology and neuroscience

Academic Staff

Avatar

Mateja Jamnik

Professor of Artificial Intelligence

Artificial Intelligence, Machine Learning

Avatar

Pietro Liò

Professor of Computational Biology

Computational Biology, Bioinformatics, Machine Learning, Artificial Intelligence, Complex Networks

Avatar

Sean Holden

University Associate Professor of Computer Science

Artificial Intelligence, Machine Learning

Alumni

Avatar

Cătălina Cangea

Research Scientist, DeepMind

Graph representation learning, Meta-learning, Multimodal learning, Real-world challenges

Affiliates

Avatar

Aaron Zhao

Visiting Researcher, Cambridge & Assistant Professor, Imperial College London

Automated Machine Learning, ML systems, ML security

Avatar

Bianca Dumitrascu

Affiliated Lecturer, Cambridge

Computational Biology, Bayes, Multi-modal learning, Biophysics, Active Learning, MARL

Avatar

Giovanna Maria Dimitri

Post-doctoral Researchers, University of Siena DIISM

Deep Learning, Computer Vision

Avatar

Petar Veličković

Affiliated Lecturer, Cambridge & Staff Research Scientist, DeepMind

Geometric Deep Learning, Graph Representation Learning, Graph Neural Networks, Algorithmic Reasoning, Computational Biology

Visitors

Avatar

Antonio Longa

PhD student

Explainable Graph Neural Networks, Complex System, Temporal Networks, Temporal Graph Mining

Avatar

Gianluca Mittone

PhD Student

High Performance Computing, Parallel Computing, Distributed Computing, Deep Learning, Machine Learning

Avatar

Luna Pianesi

MSc Student

Artificial Intelligence, Computational Biology, Graph Neural Networks

Avatar

Niccolò Pancino

PhD Student

Graph Neural Networks, Bioinformatics

Avatar

Steve Azzolin

MSc Student

Graph Neural Networks, Explainability, Computer Vision