Posts classified under: Faculty

I am an Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and Electrical Engineering at Stanford University. I work on a wide range of problems in machine learning (from proving mathematical properties to designing new models and algorithms) and am especially interested in applications in human genomics. I received my Ph.D. from Harvard in 2014 and was fortunate to be a member of Microsoft Research New England. Before this, I completed Part III in Mathematics at the University of Cambridge and was a Simons fellow at U.C. Berkeley. I joined Stanford in Fall 2016 and am excited to be an inaugural Chan-Zuckerberg Investigator. I lead the Stanford Laboratory for Machine Learning, Genomics and Health.

Naras is Senior Research Scientist in the Departments of Biomedical Data Science and of Statistics.  He is also the Director of the Data Coordinating Center (School of Medicine).  His research area is statistical computing. His current focus is on statistical tools for bioinformatics. Along with colleagues Rob Tibshirani and Trevor Hastie, he has developed several software packages for analyzing microarray data like Significance Analysis of Microarrays, and Prediction Analysis of Microarrays.

Dr. Tian is Associate Professor of Biomedical Data Science, and by courtesy, of Statistics. His research focuses on statistical methods in clinical trial design, precision medicine, and survival analysis. He has published more than 60 papers on statistical methodology. Before joining Stanford, he was assistant professor at Northwestern University. Dr. Tian also serves as associated editor for multiple statistical journals and current board member of the International Chinese Statistical Association.