I’m an ML researcher interested in Bayesian inference and generative modeling (“distribution”-centered techniques in general), particularly approaches to these using sampling methods.
I also have a passion for physics (currently: parts of condensed matter physics, QFT and the relations between the two).
I’m currently a PhD student at Mila under the supervision of Yoshua Bengio. Previously I completed my Master’s Thesis with Pascal Poupart, with research focused on Bayesian federated learning methods.
Contact me
mohsin[dot]hasan[at]mila[dot]quebec