About Micha

Micha is a PhD candidate towards the end of his PhD, in the Computational Vision Group / Artificial Intelligence Lab, part of the Department of Computer Science at University of Toronto, and in the Vector Institute, Toronto. He is supervised by prof. David Fleet, and has been concentrating for the better part of the last decade on machine learning and optimization problems. Specifically on 3D video tracking combined with physical models. Micha holds a BSc. in Electrical Engineering and a BSc. in Physics from the Technion, Israel Institute of Technology, both with Summa Cum Laude honors (top 3% of his class). He obtained his MSc. from University of Toronto under David's supervision, where he researched inferring attributes, such as gender, weight, happiness and anxiety level, from motion capture data and from video tracking.

Micha also founded a Computer Vision/Machine Learning lab, with the goal of pushing ahead CV/ML research, while giving smaller start-ups (who typically cannot afford to hire ML researchers) accessibility to one of the biggest revolutions that mankind is about to experience. He also believes that the social aspect of that revolution is ignored, by large. As part of his efforts for a better future for all, he is working to encourage an open discussion about the social implications of the AI revolution, in order reduce fears from AI, and replace it with openness and better understanding of what possibilities lies ahead.

In his spare time he enjoys hiking, canoeing, SUP, bike riding, skiing, ice skating, or basically every outdoor/indoor sport activity he finds the time to put into.

You can find Micha's CV here.

Contact Information


livne [at] seraphlabs [dot] ca


Dept. of Computer Science
University of Toronto
10 King's College Road, Rm. 3303
Toronto, ON
M5S 3G4


Pratt Building, Rm. 263A
6 King's College Road
Toronto, ON
M5S 3G8


Vector Institute
MaRS Centre, West Tower
661 University Ave., Suite 710
Toronto, ON
M5G 1M1



Open Source Contributions

Micha created an open source research-support framework to help small companies, independent researchers, and students to concentrate on their research work. The frameworks are meant to supply powerful utilities, classes, and tools to be used with many existing research frameworks. It is a work in progress, and all feedback/requests are welcomed. If you would like to be involved please contact Micha via email.

NOTE: repos are temporarily down for maintenance

Research Highlights

Here you can find a collection of videos that highlights some of Micha's research projects.

MIM: Mutual Information Machine



PNN - Physical Neural Network

Performance Capture

Spine Segmentation

Physical Tracking


Random projects that are guaranteed to possibly put a smile on your face!