Lukas Kidzinski

Lukas Kidzinski

I’m a co-founder of Gosset, a pharmaceutical intelligence platform. My work there draws on a background in statistics, machine learning, and developing software for healthcare.

My academic work is focused on machine learning and statistics, particularly their applications to biomechanics and health. At EPFL and Stanford, I worked on functional time series, learning analytics, and movement analysis from video. I’ve also brought that research background into healthcare software as a co-founder of Saliency.ai, a medical imaging platform, and a Director of AI at Clario.

Selected projects

All projects

Learning to run

Musculoskeletal simulations and the NeurIPS challenges in learning to run and AI for prosthetics.

DeepArt

A platform for applying the style of a painting to a photograph.

Selected publications

All publications
Full publication record on Google Scholar

Education & research

Stanford University
Postdoctoral research, Bioengineering & Statistics
EPFL
Postdoctoral research, Computer Science
Université libre de Bruxelles
PhD, Mathematical Statistics, 2014
University of Warsaw
MSc, Mathematics, 2011
MSc, Computer Science, 2010
Past teaching

Digital education & learning analytics at EPFL (2014); multivariate analysis (2014) and stochastic models (2012–2013) at ULB.

Press & coverage

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