Xiaolei Lin
Assistant Professor at Fudan University
ABOUT ME
I am an Assistant Professor at the School of Data Science, Fudan University. My research interests include biostatistics, statistical methods for intensive longitudinal data, and statistical learning for clustering and longitudinal data. Before Fudan, I obtained my Ph.D in Biostatistics from The University of Chicago, under the supervision of Dr. Donald Hedeker.
RESEARCH INTERESTS
Biostatistics
Statistical methods for intensive longitudinal data.
Statistical learning for clustering and longitudinal data.
EDUCATION
Ph.D, The University of Chicago, 2018
Thesis: Statistical methods for Ecological Momentary Assessment Data: heterogeneous variance, missing data and latent state classification
MS, The University of Iowa, 2014
Thesis: Hierarchical auto-regressive model for longitudinal visual field loss assessment
BS, Sun Yat-Sen University, 2011
WORK EXPERIENCE
Assistant Professor, March 2019 – present
School of Data Science, Fudan University
Data Scientist Intern, Jun 2017 – Sep 2017
Google Inc, New York City, NY
Data Scientist Intern, Jun 2016 – Aug 2016
Google Inc, Mountain View, CA