Our paper on the "Tails of Lipschitz Triangular Flows" has been accepted for publication at ICML 2020. If you're attending, be sure to stop by and chat.
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 at Borealis AI and am currently an Academic Advisor there. Originally from the United States, I moved to Canada in 2001 to study 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 am also currently serving as an Associate Editor for the journal IET Computer Vision, an Area Chair for ECCV 2018 and Student Volunteer Chair for CVPR 2018.
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.
Interested graduate students should apply to the EECS Graduate Program and indicate an interest in working with me in their application. Students may also contact me directly, but please note that I may not be able to reply due to the volume of emails I recieve.
Those interested in joining my group as a visiting student or postdoc should email me directly at the email address below.
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.
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!
I wrote a brief essay on striving for impact in research, in particular in machine learning. You can read it on TechVibes here.
I will be serving as an Area Chair for ECCV 2018.
I will be speaking on "Bayesian Methods in Cryo-EM" at the 2017 NRAMM Workshop on Advanced Topics in EM Structure Determination: Challenges and Opportunities.
I will be serving as one of the Student Volunteer Chairs for CVPR 2018.
I'll be visiting and speaking at several places in Montreal and Lausanne this month. Feel free to say hello!
- May 10th - Speaking at the Canadian Microscopy and Cytometry Symposium in Montreal. See the symposium website for the presentation schedule.
- May 12th - Visiting Joaquin Ortega and Kaleem Sadiqqi at McGill University in Montreal. I'll be giving a seminar for a computer science audience in the afternoon.
- May 15th - Speaking at the 2017 Cryo-EM Symposium at EPFLs BioEM Facility in Lausanne, Switzerland
- May 16th - Visiting the CVLab at EPFL. I'll be giving a computer science oriented seminar in the morning.
Recent work on using semantic cues to localize a vehicle will be presented at the 2017 IEEE International Conference on Robotics and Automation (ICRA). This is joint work with Wei-Chui Ma, Shenlong Wang, Sanja Fidler and Raquel Urtasun. You can find the paper here and a video of some of the results here.
Paper at the 2017 IEEE Winter Conference on Applications of Computer Vision (WACV) on predicting the malignancy of lung nodules in CT scans with 3D convolutional neural networks. Find the paper here.
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.
I am now a member of the Centre for Vision Research at York University.