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Michael Ke Zhang

Michael Ke Zhang

Head of Data & Machine Learning | Driving Data & AI Innovation

Palo Alto, California
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Joined October 2024
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Summary

Michael Ke Zhang is a deep technical leader with a strong academic foundation in physics from Caltech and a Ph.D. in Applied Physics from Stanford University. His research at Stanford focused on the kinetics and mechanisms of DNA hairpin folding, demonstrating his expertise in complex scientific domains. stanford+1
He is an experienced entrepreneur and co-founder, notably leading AI Camp as its Co-founder and Head of AI, and previously founding and serving as CEO of Wolfe Career and Dujour. His entrepreneurial drive is further evidenced by his role as an Entrepreneur In Residence at Fusion Fund and his participation in Stanford Ignite, an entrepreneurship program. ai-camp+2
Michael specializes in data and AI innovation, currently serving as Head of Data & Machine Learning at Notable, and previously as Head of Data at Blend and Growth/Data Product Manager at Grab. His thought leadership in this area is highlighted by his Medium article, 'How to become a data scientist,' offering career insights from industry experts. medium+1
He is actively involved in the technology and startup ecosystem as an Official Software Judge/Mentor at StartX and an Advisor at CoinAlpha, Inc. (and FlowData LLC). His engagement extends to mentoring and contributing to the growth of new ventures, indicating a commitment to fostering innovation. linkedin+1

Work

Education

Writing

How to become a data scientist

April 1, 2015

An article discussing career insights for aspiring data scientists, featuring advice from professionals at companies like Intuit, StitchFix, Coursera, Facebook, Jetlore, Pinterest, and Insight.

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dna hairpin folding kinetics and mechanisms a dissertation

December 1, 2012

This is Michael Ke Zhang's PhD dissertation from Stanford University, focusing on the kinetics and mechanisms of DNA hairpin folding.

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Hobbies

Michael Ke Zhang enjoys fishing, as mentioned in his Twitter profile. x

Michael Ke Zhang tracks and shares his swimming progress, indicating an interest in swimming. linkedin

Michael Ke Zhang watches The Big Bang Theory when stressed, which takes him back to his time at Caltech, suggesting a connection to his past academic environment and potentially an interest in science-related humor. linkedin