Student Awards

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Past Student Research Awards

The table below combines past awardees into one list with the sponsor shown in the first column. It is sorted by year and student last name.

Sorted by year and student last name

Sponsor

Year

Student

University

Paper Title

Advisor
IBM T.J. Watson Research Center 2021 Tianyu Pan University of California, Irvine Identifying latent groups in spatial panel data using a Markov random field constrained product partition model Weining Shen, Guanyu Hu
IBM T.J. Watson Research Center 2021 Md. Tuhin Sheikh University of Connecticut New Bayesian C-indices for Assessing Importance of Longitudinal Biomarkers in Fitting Competing Risks Survival Data in the Presence of Partially Masked Causes Ming-Hui Chen
IBM T.J. Watson Research Center 2021 Liang Wang Boston University Deviance Matrix Factorization Luis Carvalho
IBM T.J. Watson Research Center 2021 Eli N. Weinstein Harvard University Bayesian Data Selection Jeffrey W. Miller
IBM T.J. Watson Research Center 2021 Lili Wu North Carolina State University Estimating spatially varying health effects of wildland fire smoke using mobile health data Shu Yang
IBM T.J. Watson Research Center 2019 Moming Li George Mason University On Symmetric Semiparametric Two-sample Problem Guoqing Diao and Jing Qin
IBM T.J. Watson Research Center 2019 Yan Li University of Connecticut Weight Matrix Construction in Fingerprinting to Improve Detection of Global Temperature Signals in Historical Climate Kun Chen, Jun Yan and Xuebin Zhang
IBM T.J. Watson Research Center 2019 Xiaokang Liu University of Connecticut Multivariate Functional Regression via Nested Reduced-Rank Regularization Shujie Ma and Kun Chen
IBM T.J. Watson Research Center 2019 Wei Shi University of Connecticut New Bayesian Measures for Information and Data Compatibility Ming-Hui Chen, Lynn Kuo and Paul Lewis
IBM T.J. Watson Research Center 2018 Thibaut Horel Harvard University Stable Robbins-Monro Approximations Through Stochastic Proximal Updates Panos Toulis and Edoardo Airoldi
IBM T.J. Watson Research Center 2018 Aya Mitani Boston University Marginal analysis of ordinal clustered longitudinal data with informative cluster size Elizabeth Kaye and Kerrie Nelson
IBM T.J. Watson Research Center 2017 Zach Branson Harvard University A Nonparametric Bayesian Methodology for Analyzing Regression Discontinuity Designs Luke Miratrix
IBM T.J. Watson Research Center 2017 Yeongjin Gwon University of Connecticut Network Meta-Regression for Ordinal Outcomes: Applications in Comparing Crohn’s Disease Treatments Ming-Hui Chen
IBM T.J. Watson Research Center 2017 Suzanne Thornton Rutgers University-New Brunswick Approximate Confidence Distribution Computing: An Effective Likelihood-Free Method With Statistical Guarantees Min-ge Xie
IBM T.J. Watson Research Center 2017 Elizabeth Upton Boston University Bayesian Network Regularized Regression for Modeling Urban Crime Occurrences Luis Carvalho
IBM T.J. Watson Research Center 2017 Wenjie Wang University of Connecticut Extended Cox Model by ECM Algorithm for Uncertain Survival Records Due to Imperfect Data Integration Kun Chen and Jun Yan
IBM T.J. Watson Research Center 2015 Yang Chen Harvard University Analyzing Single-Molecule Protein Transportation Experiments via Hierarchical Hidden Markov Models Samuel Kou
IBM T.J. Watson Research Center 2015 Yu Lu Yale University Rate Optimal Graphon Estimation Harrison Zhou
IBM T.J. Watson Research Center 2015 Yu-Bo Wang University of Connecticut A New Monte Carlo Method for Computing Marginal Likelihoods Lynn Kuo and Ming-Hui Chen
IBM T.J. Watson Research Center 2015 Anderson Zhang Yale University Achieving Optimal Misclassification Proportion in Stochastic Block Model Harrison Zhou
IBM T.J. Watson Research Center 2013 Alexander Franks Harvard University Estimating a Structured Covariance Matrix from Multi-lab Measurements in High-throughput Biology Edoardo Airoldi
IBM T.J. Watson Research Center 2013 Gyuhyeong Goh University of Connecticut Bayesian Predictive Model Assessment and Selection with Bregman Divergence Dipak Dey
IBM T.J. Watson Research Center 2013 Zhao Ren Yale University Statistical Inference and Optimalities in Estimation of Gaussian Graphical Model Harrison Zhou
IBM T.J. Watson Research Center 2011 Alexander Blocker Harvard University Deconvolution of Mixing Time Series on a Graph Xiao-Li Meng and Edo Airoldi
IBM T.J. Watson Research Center 2011 Jeffrey Miller Brown University A Practical Algorithm for Exact Inference on Tables and Exact Enumeration and Sampling of Matrices with Specified Margins Matthew Harrison and Stuart Geman
IBM T.J. Watson Research Center 2011 Layla Parast Harvard University Landmark Prediction of Long Term Survival Incorporating Short Term Event Time Information Tianxi Cai
IBM T.J. Watson Research Center 2011 Hui Yao University of Connecticut Bayesian Modeling and Inference for Meta Data with Applications in Efficacy Evaluation of an Allergic Rhinitis Drug Ming-Hui Chen
IBM T.J. Watson Research Center 2009 Paul Baines Harvard University Bayesian Analysis of Stellar Populations Xiao-Li Meng
IBM T.J. Watson Research Center 2009 Xiaojing Wang University of Connecticut Augmented Estimating Equations for Semiparametric Panel Count Regression Jun Yan
IBM T.J. Watson Research Center 2009 Tasneem Zaihra University of Windsor Interval estimation of risk difference for data sampled from clusters Sudhir Paul
IBM T.J. Watson Research Center 2009 Jian Zou University of Connecticut Vast Volatility Matrix Estimation for High-Frequency Yazhen Wang
IBM T.J. Watson Research Center 2007 Sourish Das University of Connecticut Model Diagnostics for Generalized Linear Models Dipak Dey
IBM T.J. Watson Research Center 2007 Xiaohong Li University of Massachusetts An Expectation Conditional Maximization Approach to Estimation of Malaria Haplotype Frequencies Andrea Foulkes
IBM T.J. Watson Research Center 2007 Jingchen Liu Harvard University Efficient Simulation for Large Deviation Probabilities of Sums of Heavy-tailed Increments Jose Blanchet and Xiao-Li Meng
IBM T.J. Watson Research Center 2007 Andrew Thomas Harvard University Perfect Sampling of a Probit Model Posterior Jose Blanchet
IBM T.J. Watson Research Center 2005 Gopika Goswami Harvard University On Population Based Methods of Clustering Jun Liu
Google and Microsoft 2010 Keith Betts Harvard University Robust Survival Prediction via Linear Transformation Models David Harrington
Google and Microsoft 2010 Alexander Blocker Harvard University A Bayesian Approach to the Analysis of Time Symmetry in Light Curves: Reconsidering Scorpius X-1 Occultations Xiao-Li Meng
Google and Microsoft 2010 Mark Fiecas Brown University The Generalized Shrinkage Estimator For Spectral Analysis of Multivariate Time Series Hernando Ombao
Google and Microsoft 2010 Ada Lau University of Oxford Spatiotemporal Kriging and Correlation Modeling of Wind Power Generation Patrick McSharry
Google and Microsoft 2010 Xianchao Xie Harvard University Multiple Imputation: A Negotiation of Two Parties Xiao-Li Meng
Google and Microsoft 2010 Sihai Zhao Harvard University Principled Sure Independence Screening for Cox Models with Ultra-High-Dimensional Covariates Yi Li
Other sponsors 2018 Xiaoxuan Cai Yale University Causal inference for infectious disease interventions in networks Forrest Crawford
Other sponsors 2018 Angelica Estrada Smith College Helping the Red Cross Predict Flooding in Togo Oumayma Koulouh and Jessica Wert
Other sponsors 2018 Ayako Miura University of Rhode Island Evaluating the Effects of Attitudes on Health-Seeking Behavior among a Network of People who Inject Drugs Ashley Buchanan, Samuel R Friedman and Natallia Katenka
Other sponsors 2014 Elham Azizi Boston University Learning Modular Structures from Network Data and Node Variables James Galagan
Other sponsors 2014 Thiago Costa Harvard University Local Algorithm to Estimate Graphons by Stochastic Blockmodels Approximation Edoardo Airoldi
Other sponsors 2014 Peng Ding Harvard University A Paradox from Randomization-Based Causal Inference Donald Rubin, Luke Miratrix, and Tirthankar Dasgupta
Other sponsors 2014 Ian Johnston Boston University Hierarchical Gene-Proximity Models for Genome-Wide Association Studies Luis Carvalho
Other sponsors 2012 Karthik Bharath University of Connecticut Do Jumps Lead to Clusters? Dipak Dey and Vladimir Pozdnyakov
Other sponsors 2012 Alexander Blocker Harvard University Template-Based Methods for Analyzing Chromatin Structure Dynamics Genome-Wide Edoardo Airoldi
Other sponsors 2012 Hossein Soufiani Harvard University Graphlet Decomposition of a Weighted Network Edoardo Airoldi