Paul François
Posted on14 Dec 2022
Paul François is a biophysicist focused on the application of computational methods (including machine learning) to evolution, embryonic development and immunology.
Timothée Lesort
Posted on05 Jan 2022
Postdoctoral Researcher under supervision of Irina Rish. Previously, PhD Sudent at IPP under the supervision of David Filliat. I am interested in...Read More
Alexandre Sirois-Vigneux
Posted on18 Sep 2021
I have completed my B.Sc. in Computer Science and Mathematics at the University of Montreal and I’m currently doing an M.Sc. at...Read More
Nanda H Krishna
Posted on08 Sep 2021
I’m a Master’s student at Université de Montréal advised by Prof. Guillaume Lajoie. I’m interested in developing efficient and robust deep learning...Read More
Nadhir Hassen
Posted on21 Jul 2021
I am particularly interested in approximate inference for neural networks and Bayesian optimization. I want to design algorithms that can incorporate prior...Read More
Tara Akhound-Sadegh
Posted on21 Mar 2021
Ph.D. student supervised by Siamak Ravanbakhsh and Laurence Perreault-Levasseur. Interested in symmetries in deep representation learning, physics-informed machine learning, and dynamical systems.
Mahta Ramezanian
Posted on06 Mar 2021
Nikolaus Howe
Posted on06 Jan 2021
I am a student of Pierre-Luc Bacon. My academic work focuses on learning and planning with neural ode models in the context...Read More
Sékou-Oumar Kaba
Posted on05 Jan 2021
I am a PhD student in machine learning at McGill University and Mila. I have a background is in physics and my...Read More
Guillaume Dumas
Posted on06 Oct 2020
Guillaume Dumas is an Associate Professor of Computational Psychiatry in the Faculty of Medicine at the Université de Montréal, and the Principle...Read More
