About Me

I’m an Assistant Professor of Computer Science at York University, a Faculty Affiliate at the Vector Institute and an Adjunct Professor in the University of Toronto Department of Computer Science. I am a member of the Centre for Vision Research and core member of the Vision: Science to Application (VISTA) program. I currently serve as an Associate Editor for IET Computer Vision and have been an Area Chair for a number of conferences.

I was a Researcher Director (2018-2020) at Borealis AI where I continue to work as an Academic Advisor. I am also Visiting Professor at Samsung AI Center - Toronto, a co-founder and advisor of Structura Biotechnology (makers of cryoSPARC), one of the original contributors to Stan and was a Research Associate at Cadre Research Labs (makers of TopMatch-GS). I studied at the University of Toronto where I received my PhD in 2011. I also did postdocs at the Toyota Technological Institute at Chicago and the University of Toronto. See my CV for more details.

Research Interests

I am interested in building rich, detailed models which capture fundamental relationships between the world and our observations of it. Such models ultimately enable us to measure and predict sometimes surprising details.

Most recently I have been focusing on probabilistic generative models, specifically normalizing flows. My research has been exploring theoretical aspects of normalizing flows and their applications. I also have an interest on the problem of estimating the 3D structure of biological molecules such as proteins and viruses with Cryo-EM. Beyond those current focuses, I have also worked on vehicle localization for robotics, physically realistic models of human motion, probabilistic programming languages, Bayesian methods, MCMC and forensic ballistics.

Prospective Students

Interested in joining my group? I’m also on the look out for exceptional students and colleagues to work with. More information is available here.

Recent News

Seminar at Amii

I will be giving a seminar about my work on normalizing flows on Friday at Amii. More information, including timing and registration, can be found here. Can’t make this one? There are several more seminars in the works for the next few months.

Recent Preprints and Workshop Papers on arXiv

Several new workshop papers and preprints are now available on arXiv!

Joining Samsung AI Toronto

I am excited to announce that I have joined the Toronto Samsung AI Center part time as a Visiting Professor. I will be overseeing projects in computer vision and machine learning with their excellent team of researchers. If you’re looking for an industrial position, be sure to check them out!

ICML Workshop on Invertible Neural Nets and Normalizing Flows

Happy to annouce that I will be giving an invited talk at the INNF+ Workshop at ICML this year. My collaborators and I also had two papers accepted for presentation at the workshop:

Recording of Seminar at UBC

You can find the recording of my seminar on Normalizing Flows in Theory and Practice as part of the CAIDA seminar series at the University of British Columbia here.

Seminar at UBC

Happy to announce that I will be giving a seminar on Normalizing Flows in Theory and Practice as part of the CAIDA seminar series at the University of British Columbia. For more information and event registration, check out the event announcement. There are likely to be more seminars coming in the near future, keep an eye here for announcements.

First Ontario Workshop on Computer Vision

Proud to announce that I’m serving as the General Chair for the first ever Ontario Workshop on Computer Vision. This is a trainee focused event aiming to provide a forum for computer vision researchers in the province of Ontario to share their early work, network and establish new collaborations. There will be several keynote sessions, poster sessions and more. Keep an eye on the website and OWCV twitter accounts for more information.

For more news see here.