Past Ph.D Students
 Past Post-Doctoral Students
 Present Ph.D Students

Present Ph.D Students

Rakesh Achanta
Junyang Qian


Past Ph.D Students

Ya Le, 2018
Topics in Statistical Learning with a Focus on Large-Scale Data
Data Science team, Google Brain

Charles Zheng, 2017
Supervised Learning of Representations
(co-advided with Jonathan Taylor, and mentored by Yuval Benjiamini)
Researcher in Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health.

Hristo Spassimirov Paskov, 2016
Learning with N-grams: from Massive Scales to Compressed Representations.
(co-advised with John Mitchell, CS).
Arthur Samuel Award for best dissertation in Computer Science at Stanford.
In startup (stealth mode) and financial consultency

Qingyuan Zhao, 2016
Topics in Causal and High Dimensional Inference
Postdoctoral student, the Wharton School, University of Pennsylvania. Website at UPenn

Will Fithian, 2015
Topics in Adaptive Inference
Assistant Professor, University of California, Berkeley.

Jason Lee, 2015
Selective Inference and Learning Mixed Graphical Models
(co-advised with Jonathan Taylor)
Assistant Professor, University of Southern California.

Michael Lim, 2013
The Group Lasso: Two Novel Applications.
Data Scientist, JumpTrading, Chicago (2015)

Rahul Mazumder, 2012
Topics in Sparse Multivariate Statistics.
Postdoc MIT 2012-2013
Assistant Professor, Statistics Dept., Columbia University, NY 2013-

Donal McMahon, 2009
Research Synthesis for Multiway Tables of Varying Shapes and Size
Engineering Analyst, Google, Mountain View, CA

Ping Li, 2007
Stable Random Projections and Conditional Random Sampling, Two Sampling Techniques for Modern Massive Datasets
Associate Professor, Departments of Statistics and Computer Science, Rutgers University

Gill Ward, 2007
Statistics in Ecological Modeling: Presence-Only Data and Boosted Mars
Google (Youtube), Mountain View.

Mee-Young Park, 2006
Generalized Linear Models with Regularization
Quantitative Analyst, Google, Mountain View

Hui Zou, 2005
Some Perspectives of Sparse Statistical Modeling
Professor, Department of Statistics, University of Minnesota

Saharon Rosset, 2003
Topics in Regularization and Boosting
(co-advised with Jerome Friedman)
Associate Professor, School of Mathematical Sciences, Tel Aviv University

Ji Zhu, 2003
Flexible Statistical Modelling
Professor, Department of Statistics, University of Michigan

Mu Zhu, 2001
Feature Extraction and Dimension Reduction with Applications to Classification and the Analysis of Co-occurrence Data
Professor, Statistics Department, University of Waterloo, Canada

Gareth James, 1998
Majority Vote Classifiers: Theory and Applications
Vice Dean for Faculty and Academic Affairs, E. Morgan Stanley Chair in Business Administration, Professor of Data Sciences and Operations, Marshall School of Business, USC

Dan Rubinstein, 1997
Discriminative versus Informative Learning
CEO and co-founder of Reflectivity (acquired by Texas Instruments)
Product Director, Palantir, Palo Alto CA.

Neil Crellin, 1996
Modeling Image Sequences, with Particular Applications to FMRI Data
Google, Mountain View


Past Post-Doctoral Students

Julia Viladomat , 2011-2013
Ph.D Universidad Carlos III de Madrid
Data Scientist Adobe Labs

Dirk Ormoneit, 2000-2001
Director of Research, Bluecrest Capitol Management, London

Eva Cantoni, 1999-2000
Associate Professor, Faculty of Economics and Social Science, University of Geneva.

 © copyright 2003 Trevor Hastie - All rights reserved.