Welcome
Greetings! I’m a machine learning engineer at Meta working on video recommendations in our home app. I am one of team’s first few ranking engineers, having been leading various 0-1 initiatives:
- Reels early-stage ranking as a lightweight ranking layer that bridges retrieval and ranking that have contributed to double-digits Reels time spent increase since its inception;
- Contextual video chaining that delivers a real-time responsive chaining experience with recommendations highly customized based on the entry point surface and the seed video;
- First position ranking that provides a highly customized and relevant landing experience with ultra-low latency;
to support the rapid video product growth (Launching Reels on Facebook in the US, Exploring Videos on Facebook Just Got Easier)
Prior to Meta, I led a modeling team within Walmart’s Customer org to build customer-centric data science and machine learning solutions to growing Walmart’s customer lifetime value and the share of wallet. I was also one of the founding data scientists for Walmart’s membership program, Walmart+, and built ML models on Walmart+ customer acquisition, conversion, retention, reactivation, and lifetime value for informed marketing decisions. Earlier on, I worked as quantitative researchers at financial institutions such as Deutsche Bank, Goldman Sachs, J.P. Morgan.
I received PhD in Statistics from Department of Statistics at Rutgers University, New Brunswick, advised by Professor Minge Xie and Professor Regina Y. Liu, and BSc in Statistics from University of Science and Technology of China.
Education
Ph.D., Department of Statistics, Rutgers University, Oct 2017.
BSc, Department of Statistics and Finance, University of Science and Technology of China, June 2012.
Experiences
Staff Machine Learning Engineer at Meta, Apr 2021 to present.
Senior Data Science Manager at Walmart, Jan 2020 to Apr 2021.
Fixed Income Strats at Deutsche Bank, Dec 2018 to Dec 2019.
Quantitative Researcher at Goldman Sachs, Jun 2017 to Dec 2018.