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 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

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:

  • Manifold Density Estimation via Generalized Dequantization by James A Brofos, Marcus A Brubaker and Roy R Lederman
  • Agent Forecasting at Flexible Horizons using ODE Flows by Alexander Radovic, Jiawei He, Janahan Ramanan, Marcus A Brubaker and Andreas Lehrmann (paper to come) Stay tuned for more information on my talk.

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.

Launch of New Website

I’ve finally launched a new website based on GitHub Pages. This should make it easier for me to maintain and add content. Keep an eye on things over the coming weeks as I work to expand and improve its contents. My old York EECS website is still availble here and my ancient UofT DCS website is still available here, although I am planning to take down my DCS page soon.

For more news see here.