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Mateja Jamnik

Professor @ University of Cambridge, Cambridge, UK

tabular data

high-dimensional data

feature selection

biomedical data

small sample datasets

data-efficient ml

gene expressions

parameter-efficient neural networks

diet networks




number of views


I am a full Professor of Artificial Intelligence in the Department of Computer Science and Technology (Computer Laboratory) at the University of Cambridge, UK. I am also an associate fellow at the Leverhulme Centre for the Future of Intelligence. Recently I served as Specialist Adviser to the House of Lords Select Committee on Artificial Intelligence. I founded the women@CL initiative. I am interested in human intuitive reasoning and want to make computers think intuitively too. I build computational models that capture human informal reasoning - I am essentially trying to humanise computer thinking. I combine AI reasoning with machine learning techniques in order to advance the explainability of AI systems, and apply them to personalise medicine and tutoring systems. Broadly, my research is in the areas of artificial intelligence, human-like computation, machine learning, explainability, automated reasoning, diagrammatic reasoning, knowledge representation, theorem proving, cognitive science, human-computer interaction.


How can we make trustworthy AI?

Mateja Jamnik

Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data

Andrei Margeloiu and 3 other authors

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