Artificial Intelligence Conference San Francisco 58/114

Artificial Intelligence Conference San Francisco 58/114

Nan Li 
Obvious Ventures, Obvious Ventures

Nan Li brings a mixed technology, investing and entrepreneurial background to Obvious Ventures. He is also an adjunct lecturer at Stanford on venture capital. Nan has been a venture investor and advisor for the past five years, working with companies applying technology toward solving big problems. Previously, he managed early-stage tech investments for Eric Schmidt’s Innovation Endeavors; led product, operations, and finance at Gigwalk, a mobile, crowdsourced data and analytics company funded by Greylock Partners and August Capital; was a VC at Bain Capital Ventures; was a management consultant at Bain & Company; and served as a PM at Microsoft. Nan holds a BSE in computer science engineering from the University of Michigan. He grew up in Detroit after emigrating from China. He enjoys music, photography, culture, puzzles, all Detroit sports, and general nerdom.


11:55am–12:35pm Tuesday, September 19, 2017
AI and cellular images for universal drug discovery
Verticals and applications
Location: Imperial B
Level: Beginner

Secondary topics:  Biopharmaceuticals, Deep learning

Blake Borgeson (Recursion Pharmaceuticals), Nan Li (Obvious Ventures)
Blake Borgeson and Nan Li offer a technical overview of how Recursion—a company that applies computer vision and machine learning to create a high-dimensional feature space in which to e v a luate cellular health broadly across hundreds of disease states—leverages cellular phenotyping for drug discovery.