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. Previously I was a Researcher Director (2018-2020) at Borealis AI where I continue to work as an Academic Advisor. 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, Toronto Rehabilitation Hospital and the University of Toronto. My research interests span computer vision, machine learning and statistics.

I am a member of the Centre for Vision Research and core member of the Vision: Science to Application (VISTA) program at York University. I currently serve as an Associate Editor for IET Computer Visionand have been an Area Chair for a number of conferences.

More information about me can be found in my CV. You may also be interested in my (very) old website.

Research Interests

I am interested in building rich, detailed models of the world 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 the problem of estimating the 3D structure of biological molecules such as proteins and viruses with Cryo-EM. However, 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 exception students and colleagues to work with. More information on joining my group is available here.

Recent Posts

June 1, 2020

Review article on Normalizing Flows

I recently co-authored a review article (preprint version) on Normalizing Flows which will be published in IEEE Transactions of Pattern Analysis and Machine Intellgience. Normalizing Flows is a topic that I'm excited about and looking to work more on in the future. If you've not seen it before, please check it out.

May 1, 2020

Return to Academia

I have returned full time to academia! At the moment I am working on expanding my lab and restarting my research program. Watch this space for updates in the near future!

February 7, 2018

Striving for Impact

I wrote a brief essay on striving for impact in research, in particular in machine learning. You can read it on TechVibes here.

February 5, 2018

Joining Borealis AI

I am excited to announce that I will be joining Borealis AI as a Researcher Director. This will be part time for now and become full time starting May 1st, when I take a leave of absence from my position at York University. Read more about Borealis and the work I'll be doing there here.

June 22, 2017

Dynamic Texture Synthesis and Style Transfer

Our new paper on dynamic textures is now available on arXiv here and the website with more results and details can be found here.

Also, I'll be attending CVPR in July. If you're going to be there and would like to meet up, feel free to drop me an email.

May 8, 2017

Travel Plans

I'll be visiting and speaking at several places in Montreal and Lausanne this month. Feel free to say hello!

I also recently visited the Program in Applied and Computational Mathematics at Princeton University to deliver the IDeAS Seminar on April 27th.

February 6, 2017

Introducing cryoSPARC

A major focus of my research over the last few years as been into new methods for the determination of 3D structures of viruses and proteins. A big piece of that work has been published today in Nature Methods. This article describes the algorithmic advances which underpin cryoSPARC. This work was done in collaboration with Ali Punjani (PhD Student, University of Toronto), John Rubinstein (Senior Research Scientist, Hospital for Sick Children) and David Fleet (Professor, University of Toronto).

For a non-technical introduction to our work, you can take a look at this story out of University of Toronto, Scarborough.