I am a Senior Data Scientist and Applied Researcher at LinkedIn and an expert in Causal Inference and Machine Learning. I’m currently working in the Product Services & Marketplace Data Science organization focused on Systems and Marketplace Understanding. Prior to this team, I worked on problems related to forecasting, anomaly detection, and root cause analysis focused on applied operations problems.
Prior to LinkedIn, I was a Statistician at the RAND Corporation where I developed methods for causal inference and observational studies applied to public policy problems. I hold a Ph.D. in Statistics from the University of California, Irvine where I worked with Professor Hal Stern on propensity score weighting methods related to optimal balancing.
Update: Starting the Fall of 2024, I’ll be a parttime lecturer at UC Irvine (in addition to my role at LI) for the Masters of Data Science program.