Past Ph.D Students
Charles Zheng , 2017
Learning of Representations
(co-advided with Jonathan Taylor, and mentored by Yuval Benjiamini)
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
(co-advised with John
Arthur Samuel Award for best dissertation in Computer Science
In startup (stealth mode) and financial consultency
Qingyuan Zhao , 2016
in Causal and High Dimensional
Postdoctoral student, the Wharton School, University of Pennsylvania.
Will Fithian , 2015
Topics in Adaptive Inference
Assistant Professor, University of California, Berkeley.
Jason Lee , 2015
Inference and Learning Mixed Graphical
(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
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
Linear Models with Regularization
Quantitative Analyst, Google, Mountain View
Hui Zou, 2005
Perspectives of Sparse Statistical Modeling
Professor, Department of Statistics, University of Minnesota
Saharon Rosset, 2003
in Regularization and Boosting
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.