I am a research scientist at Meta working on adaptive experimentation on the Central Applied Science team.

I work on algorithm-assisted human decision making, computational social science, and Bayesian methods, with a focus on problems motivated by real-world data science and machine learning applications. My work has been covered in the New York Times, LA Times, San Francisco Chronicle, the Verge, Washington Post, MIT Technology Review, Scientific American, and other places.

I received my Ph.D. in computer science from Stanford University advised by Sharad Goel and B.S. in computer science with a minor in probability and statistics from Georgia Institute of Technology. You can reach me at zylin@cs.stanford.edu.

Hi, hello, howdy! Since nobody calls me Dr. I guess this is still Mr. Lin here!