CaRAML - Cambridge Research & Applications in Machine Learning


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


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PhD Students

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Aditya Ravuri

PhD Student

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

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Alex Norcliffe

PhD Student

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

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Andrei Margeloiu

PhD Student

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

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Ang Li

PhD Student

Computational Biology, Genomics, Precision Medicine, Machine Learning

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Arian Jamasb

PhD Student

Computational Biology, Structural Biology, Machine Learning, Deep Learning

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Chaitanya K. Joshi

PhD Student

Geometric Deep Learning, Graph Neural Networks

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Charles Harris

PhD Student

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

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Cris Bodnar

PhD Student

Geometric Deep Learning, Topological Deep Learning, Nonlinear Dynamics

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Dmitry Kazhdan

PhD Student

Explainable AI, Interpretable Machine Learning

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Dobrik Georgiev

PhD Student

Algorithmic reasoning, (Hyper)GNNs, Explainability

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Felix L. Opolka

PhD Student

Graph Representation Learning, Bayesian Inference

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Iulia Duta

PhD Student

Graph Neural Networks, Machine Learning, Deep Learning

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Konstantin Hemker

PhD Student

Multimodal representations, Multiscale biological models, Computational Pathology, Spatial Transcriptomics, Deep Learning

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Lucie Charlotte Magister

PhD Student

Explainability, Interpretability, Graph Neural Networks

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Paul M. Scherer

PhD Student

Graph representation learning, ML framework design, Computational biology

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Pietro Barbiero

PhD Student

Explainable AI, Neural Symbolic AI, Precision Medicine

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Ramon Viñas Torné

PhD Student

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

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Simon Mathis

PhD Student

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

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Urszula Julia Komorowska

PhD Student

Generative Deep Learning, Protein Design

Post-doctoral Researchers

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Nikola Simidjievski

Senior Research Associate

Machine Learning, ML applications in medicine, biology and neuroscience

Academic Staff

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Mateja Jamnik

Professor of Artificial Intelligence

Artificial Intelligence, Machine Learning

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Pietro Liò

Professor of Computational Biology

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

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Sean Holden

University Associate Professor of Computer Science

Artificial Intelligence, Machine Learning

Alumni

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Cătălina Cangea

Research Scientist, DeepMind

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

Affiliates

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Aaron Zhao

Visiting Researcher, Cambridge & Assistant Professor, Imperial College London

Automated Machine Learning, ML systems, ML security

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Bianca Dumitrascu

Affiliated Lecturer, Cambridge

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

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Giovanna Maria Dimitri

Post-doctoral Researchers, University of Siena DIISM

Deep Learning, Computer Vision

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Petar Veličković

Affiliated Lecturer, Cambridge & Staff Research Scientist, DeepMind

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

Visitors

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Antonio Longa

PhD student

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

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Gianluca Mittone

PhD Student

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

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Luna Pianesi

MSc Student

Artificial Intelligence, Computational Biology, Graph Neural Networks

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Niccolò Pancino

PhD Student

Graph Neural Networks, Bioinformatics

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Steve Azzolin

MSc Student

Graph Neural Networks, Explainability, Computer Vision