Bowen Lee

I like AI research and engineering.

I am a Staff Machine Learning Engineer at Meta, where I work on large-scale ML research and engineering, bridging AI research with production at scale.

My technical expertise is in Large-Scale Recommendation Systems, Multi-Task & Multi-Domain Architectures, Distributed ML Systems, ML Infrastructure. My research interests include Reinforcement Learning, Generative Modeling (Diffusion/LLMs). I hold a PhD in Statistics with a dissertation in Survival Analysis.

Experience

2020 – present · Meta · Staff Machine Learning Engineer
2018 – 2020 · Zalando · Research Engineer
2016 – 2018 · Vpon · Staff Data Scientist
2015 – 2016 · KKBOX · Staff Data Scientist
2014 – 2015 · Academia Sinica · Postdoctoral Fellow
2006 – 2009 · Macronix · Principal Statistician

Education

2009 – 2014 · National Chiao Tung University · PhD, Statistics
- PhD Dissertation Award, University System of Taiwan Statistics Conference 2014.

Publications

C.-H. Huang, B. Li, C.-M. Chen, W. Wang, Y.-H. Chen (2016). Subdistribution Regression for Recurrent Events under Competing Risks: with Application to Shunt Thrombosis Study in Dialysis Patients. Statistics in Biosciences.

Talks

Marginal Inference on Recurrent Events under Competing Risks. ERCIM 2014, University of Pisa, Italy, Dec 2014.
Nonparametric Marginal Analysis of Recurrent Events under Competing Risks. University System of Taiwan Statistics Conference 2014, NCTU, May 2014.