Hey there, I am Junting, currently a Data Scientist at Google, and previously worked as a Biostatistician at Moderna. My expertise lies in experimentation design (lift), Bayesian modeling, and prediction uncertainty quantification. In my free time, I enjoy running and (table) tennis. Fun fact: I’m consistently ranked in the world’s top 100 in the VR table tennis game, Eleven Table Tennis.

Latest news:

2024-07: Methodology paper published on Communications biology . I built a zero-inflated L-0 penalized regression model in Pytorch using Variational Inference that sped up the Bayesian model inference by over 200%, comparing to MCMC.

2024-05: Methodology paper published on Journal of the Royal Statistical Society . I generalized the estimation of inverse sets to dense and nondense domains with protection against inflated Type I error in exploratory data analysis.

2023-06: Earned my PhD in Biostatistics from University of California San Diego, what a ride, thanks for everything.

2022-03: My paper on flexible novel Semi-parametric zero-inflated Bayesian model for right-skewed data is published in Statistics in Medicine .