About me

I have just submitted my PhD thesis in Machine Learning at School of Informatics Edinburgh, where I was supervised by Michael Gutmann.

I am interested in leveraging deep neural networks to perform various types of unsupervised probabilistic inference. My publications focused on learning and sampling deep energy-based models, but have broader applicability to areas such as mutual information estimation and Bayesian inference.