Yun-Fang Juan is a software engineer with deep interests in social networks, machine learning and crowdfunding. She is currently co-founder of Stealth Startup and was also an Entrepreneur in Residence at Social+Capital Partnership. Previously, she was the Chief Scientist at Soldsie, a social commerce startup that helps small business owners sell on Facebook.
Yun-Fang worked for Facebook for five years, where she started as one of the founding engineers and the first author of ad server of Facebook Ads, which grew from scratch to a multi-billion dollar business in less than 3 years. Yun-fang continued to lead the ads optimization team for a few years, applying machine learning to serving relevant ads to Facebook’s 800 million user base with tens of billions of daily ad impressions. She then started the coefficient project inside Facebook, developing the infrastructure and algorithms to characterize the friend and preference relationships on Facebook’s gigantic social graph. The system she developed served 1 million+ QPS and held billions of relationship metrics for real-time access with just a few hundred machines.
Prior to Facebook, she worked for Yahoo! for 6 years on search, data mining and A/B testing framework.
Yun-fang Juan graduated with a BS in electrical engineering from National Taiwan University and a MS in operations research from UC Berkeley. She has filed 11+ patents on internet measurements, social ads and online friendships.