Graduate School of Business
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Collin Wallace
Lecturer
BioCollin has over 20 years of experience as an engineer, inventor, operator, and investor. Before joining Lobby Capital, he was the Managing Director for Techstars Silicon Valley, where he launched the first two Techstars accelerator programs in the Bay Area in partnership with JP Morgan and eBay.
He started his career as the founder and CEO of FanGo Software Systems (TS S10), a leading company in restaurant mobile ordering. In 2011, FanGo was acquired by GrubHub, and Collin became the Head of Innovation, responsible for OrderHub, new technologies, and a significant portion of Grubhub’s pre-IPO patent portfolio.
In 2019, he co-founded ZeroStorefront (YC W19), a data analytics platform for restaurants, which Thanx acquired in 2022. He is an alumnus of both Techstars and YCombinator, an advisor for the Roelof Botha and Huifen Chan Innovation Program, and a faculty member at the Stanford Graduate School of Business, where he co-teaches the Startup Garage class.
Collin has run two YCombinator Demo Day Funds, investing primarily in marketplaces, developer tools, productivity, the future of work, sustainability and artificial intelligence. In total, he has invested in over 80 early-stage companies, including Payjoy, Landed, Mosaic Voice, Postscript, and Vellum.
Outside of work, he enjoys cycling, tinkering, and farming. Collin holds an engineering degree from the Georgia Institute of Technology and an MBA from the Stanford Graduate School of Business. He currently resides in San Mateo, California with his wife Doris, daughter Zoelle, and puppies Aspen & Penny. -
Yuyan Wang
Assistant Professor of Marketing at the Graduate School of Business
BioYuyan Wang is an assistant professor of marketing at Stanford Graduate School of Business. She earned her PhD in Statistics from Princeton University’s Department of Operations Research & Financial Engineering, and holds a BS in Statistics from the Special Class for the Gifted Young program at the University of Science of Technology of China. With over six years of industry experience at Uber and Google Brain as a machine learning researcher, she focused on designing algorithms for understanding and improving the long-term values of recommender systems for Uber Eats and YouTube. Her work has been recognized with the Best Paper Award at Conference on Information Systems and Technology (CIST).
