Mike Gelbart

Scientific Advisor

As the fund’s resident machine learning expert, Mike provides our portfolio companies with expertise in machine learning architecture and techniques. Additionally, he assists in vetting the technology of potential investments. Mike is also a Faculty Member in the Department of Computing Science at the University of British Columbia where he leads their Masters in Data Science program. He has deep domain expertise in various aspects of machine learning technologies with a specialty in hyper parameter optimization, a key element of nearly all machine intelligence approaches. Mike has Ph.D. in Machine Learning from Harvard and a B.Sc. in Physics from Princeton University

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