Current Course
Bios 791: Empirical Processes and Semiparametric Inference (Fall 2024).
Courses Taught
Bios 600: Principles of Statistical Inference (Fall 2015).
Bios 740: Precision Medicine (Fall 2019, 2021).
Bios 760: Advanced Probability and Statistical Inference (I) (Fall 2008, 2010, 2012, 2014, 2017, 2020, 2022, 2023).
Bios 791: Empirical Processes and Semiparametric Inference (Spring 2008, 2010, 2012, 2014, 2016, Fall 2024). Click here for syllabus. Click here for problem sets and solutions. Lectures: lecture01, lecture02, lecture03, lecture04, lecture05, lecture06, lecture07, lecture08, lecture09, lecture10, lecture 11, lecture12, lecture13, lecture14, lecture15, lecture16, lecture17, lecture19, lecture20, lecture21, lecture22, lecture23, lecture24, lecture25, lecture26, lecture27.
Statistics 201 at the University of Wisconsin-Madison (UW) (Fall 1992; Spring 1993): Introduction to Statistics.
Statistics 312 at UW (Fall 2002): Introduction to Mathematical Statistics.
Statistics 541 at UW (Fall 1994, 1995, 1996): Introduction to Biostatistics.
Statistics 732 at UW (Spring 2004, 2006): Asymptotic Statistics.
Statistics 741 at UW (Spring 1995, 1997, 1999): Survival Analysis.
Statistics 992 at UW (Fall 1993): Counting Processes and Survival Analysis.
Statistics 992 at UW (Spring 2001, 2005): Empirical Processes and Semiparametric Inference.
Statistics 998 at UW (Spring 1994, 1996, 1998, 2000, 2003; Fall 2003, 2004, 2005): Statistical Consulting.
Doctoral Students
Wei-Hsiung Chao (PhD graduate, 1996, UW-Madison). Research interests include Markov regression models for longitudinal categorical data in continuous time.
Wen-Hsiang Wei (PhD graduate, 1996, UW-Madison). Research interests include local influence diagnostics and asymptotic equivalence of different diagnostics measures.
Chin-Yu Lin (PhD graduate, 1998, UW-Madison). Research interests include generalizing log-rank and weighted Kaplan-Meier statistics for efficient hypothesis testing of failure time outcomes.
Muhammad Jalaluddin (PhD graduate, 1999, UW-Madison). Research interests include regression models for interval censored failure time data with time-dependent covariates and survival models with random effects and latent variables.
Bee Leng Lee (PhD graduate, 2000, UW-Madison). Research interests include time series, Markov processes, Semiparametric inference, and longitudinal transitional models with random effects.
Yuanjun Shi (PhD graduate, 2001, UW-Madison). Research interests focus on multivariate group sequential clinical trials.
John Dixon (PhD graduate, 2003, UW-Madison). Research interests are in empirical processes and doubly censored survival data.
Shuangge Ma (PhD graduate, 2004, UW-Madison). Research interests include biostatistics, clinical trials, empirical processes, M-estimators, microarrays and semiparametric models.
Guang Cheng (PhD graduate, 2006, UW-Madison). Research interests include semiparametric Bayesian asymptotics, empirical processes and theory of statistics.
Minjung Kwak (PhD graduate, 2006, UW-Madison). Research interests include biostatistics, empirical processes and survival analysis.
Rui Song (PhD graduate, 2006, UW-Madison). Research interests include biostatistics, changepoint models, empirical processes and survival analysis.
Shanhong Guan (PhD graduate, 2007, UW-Madison). Research interests include biostatistics, clinical trials and survival analysis.
Rajat Mukherjee (PhD graduate, 2007, UW-Madison). Co-advised with Jason P. Fine. Research interests include biostatistics, empirical processes, semiparametric models, survival analysis and length-biased sampling.
Nivedita Nadkarni (PhD graduate, 2007, UW-Madison). Research interests include biostatistics, model selection, survival analysis and Monte Carlo methods.
Sang-Hoon Cho (PhD graduate, 2008, UW-Madison). Co-advised with Richard A. Johnson. Research interests include microarray analysis, nonparametric time series and empirical processes.
Yufan Zhao (PhD graduate-Biostatistics, 2009, UNC-Chapel Hill). Research interests include clinical trials, cancer, reinforcement learning, and empirical processes.
Hongyuan Cao (PhD graduate-Statistics and Operations Research, 2010, UNC-Chapel Hill). Research interests include empirical processes, high-dimensional data, and outcome data of uncertain status.
Kai Ding (PhD graduate-Biostatistics, 2010, UNC-Chapel Hill). Co-advised with Donglin Zeng. Research interests include adjustment for confounders in survival analysis, empirical processes, and semiparametric inference.
Yiyun Tang (PhD graduate-Biostatistics, 2010, UNC-Chapel Hill). Research interests include clinical trials, cystic fibrosis, reinforcement learning, and empirical processes.
Chaeryon Kang (PhD graduate-Biostatistics, 2011, UNC-Chapel Hill). Research interests include statistical learning, empirical processes and semiparametric inference.
Yingqi Zhao (PhD graduate-Biostatistics, 2012, UNC-Chapel Hill). Research interests include public health surveillance, machine learning, personalized medicine, semiparametric methods and empirical processes.
Ruoqing Zhu (PhD graduate-Biostatistics, 2013, UNC-Chapel Hill). Research interests include tree-based regression, censored data, reinforcement learning, semiparametric methods and empirical processes.
Guanhua Chen (PhD graduate-Biostatistics, 2014, UNC-Chapel Hill). Research interests include statistical genomics, biclustering, data mining and machine learning.
Sayan Dasgupta (PhD graduate-Biostatistics, 2014, UNC-Chapel Hill). Research interests include classification and regression trees, machine learning, variable selection and empirical processes.
Steven Hoberman (PhD graduate-Biostatistics, 2014, UNC-Chapel Hill). Co-advised with Anastasia Ivanova. Research interests include clinical trials, general measures of association and data mining.
Susan Wei (PhD graduate-Statistics and Operations Research, 2014, UNC-Chapel Hill). Co-advised with J. Stephen Marron. Research interests include machine learning, high dimensional low sample size data, empirical processes, and censored data.
Pourab Roy (PhD graduate-Biostatistics, 2015, UNC-Chapel Hill). Co-advised with Jason P. Fine. Research interests include Semiparametric methods and empirical processes.
Xin Zhou (PhD graduate-Biostatistics, 2015, UNC-Chapel Hill). Research interests include genomics, high-dimensional data, machine learning and sparse regression.
Emily Butler-Bente (PhD graduate-Biostatistics, 2016, UNC-Chapel Hill). Co-advised with Eric B. Laber. Research interests include machine learning, sequential multiple assignment randomized trials (SMARTs), precision medicine, and dynamic treatment regimes with multiple competing utilities.
Sebastian Teran Hidalgo (PhD graduate-Biostatistics, 2016, UNC-Chapel Hill). Co-advised with Michael C. Wu. Research interests include sparse, high-dimensional machine learning, nonparametric dependence measures, regression and genomics.
Anna Bellach (PhD graduate-Biostatistics, 2017, University of Copenhagen). Co-advised with Theis Lange and Jason P. Fine. Research interests include empirical processes, semiparametric methods, survival analysis and competing risks.
Monica Chaudhari (DrPH graduate-Biostatistics, 2017, UNC-Chapel Hill). Research interests include clinical trial design, current status data, and precision medicine.
Jingxiang (Sean) Chen (PhD graduate-Biostatistics, 2017, UNC-Chapel Hill). Co-advised with Yufeng Liu. Research interests include machine learning and precision medicine.
Jonathan Hibbard (PhD graduate-Biostatistics, 2017, UNC-Chapel Hill). Research interests include machine learning, clustering and biclustering, empirical processes and clinical trials.
Yifan Cui (PhD graduate-Statistics and Operations Research, 2018, UNC-Chapel Hill). Co-advised with Jan Hannig. Research interests include machine learning, random forests, precision medicine, and fiducial inference.
Daniel J. Luckett (PhD graduate-Biostatistics, 2018, UNC-Chapel Hill). Co-advised with Eric B. Laber. Research interests include machine learning, precision medicine, dynamic treatment regimes, mHealth.
Michael Lawson (PhD graduate-Biostatistics, 2019, UNC-Chapel Hill). Research interests include machine learning, precision medicine, statistical control theory, mHealth.
Owen Leete (PhD graduate-Biostatistics, 2019, UNC-Chapel Hill). Research interests include survival analysis, machine learning, and precision medicine.
Crystal Nguyen (PhD graduate-Biostatistics, 2019, UNC-Chapel Hill). Research interests include analysis of imaging data, machine learning, and precision medicine.
Arkopal Choudhury (PhD graduate-Biostatistics, 2020, UNC-Chapel Hill). Research interests include machine learning, precision medicine, missing data, and natural language processing.
Xiaotong (Phoebe) Jiang (PhD graduate-Biostatistics, 2020, UNC-Chapel Hill). Research interests include survival analysis, machine learning, deep neural networks, and precision medicine.
Benjamin Langworthy (PhD graduate-Biostatistics, 2020, UNC-Chapel Hill). Co-advised with Jianwen Cai. Interests include survival analysis, competing risks, principal components, and empirical processes.
Duyeol Lee (PhD graduate-Statistics, 2020, UNC-Chapel Hill). Co-advised with Kai Zhang. Research interests include machine learning, generalized measures of dependence, and precision finance.
Hunyong Cho (PhD graduate-Biostatistics, 2021, UNC-Chapel Hill). Co-advised with Di Wu. Research interests include machine learning, random forest methods, G-estimation, genomics, and precision medicine.
Teeranan (Ben) Pokaprakarn (PhD graduate-Biostatistics, 2021, UNC-Chapel Hill). Research interests include data science, machine learning, reinforcement learning, deep learning, drug discovery, and precision medicine.
Nikki Freeman (PhD graduate-Biostatistics, 2022, UNC-Chapel Hill). Research interests include machine learning, Bayesian neural networks, Gaussian processes, and precision medicine.
Gilson Honvoh (DrPH graduate-Biostatistics, 2022, UNC-Chapel Hill). Research interests include precision medicine for time-to-event data.
Siyeon Kim (PhD graduate-Biostatistics, 2023, UNC-Chapel Hill). Research interests include machine learning and precision medicine.
Kushal Shah (PhD graduate-Biostatistics, 2023, UNC-Chapel Hill). Research interests include machine learning and precision medicine.
John Sperger (PhD graduate-Biostatistics, 2023, UNC-Chapel Hill). Research interests include machine learning, Thompson sampling, adaptive clinical trials, and precision medicine.
Daniel de Marchi (PhD graduate-Biostatistics, 2024, UNC-Chapel Hill). Interests include tree-based modeling, machine learning, precision medicine and finance.
Helal El-Zaatari (PhD graduate-Biostatistics, 2024, UNC-Chapel Hill). Research interests include network models and machine learning.
Dongneuck (East) Lee (PhD graduate-Biostatistics, 2024, UNC-Chapel Hill). Co-advised with J. Stephen Marron and Yao Li. Interests include high-dimensional data analysis, reinforcement learning and precision medicine.
Minxin Lu (PhD graduate-Biostatistics, 2024, UNC-Chapel Hill). Research interests include machine learning and precision medicine.
Michael Valancius (PhD graduate-Biostatistics, 2024, UNC-Chapel Hill). Research interests include causal inference, machine learning and precision medicine.
Tarek Zikry (PhD graduate-Biostatistics, 2024, UNC-Chapel Hill). Co-advised with Jeremy Purvis. Research interests include machine learning, computer vision and precision medicine.
Joshua Zitovsky (PhD graduate-Biostatistics, 2024, UNC-Chapel Hill). Research interests include reinforcement learning and precision medicine.
Christina Zhou (PhD dissertator-Biostatistics, 2024, UNC-Chapel Hill). Research interests include precision medicine and survival analysis.
Forest E. Hurley (PhD student-Biostatistics, 2023, UNC-Chapel Hill). Research interests include machine learning, precision medicine and empirical processes.
Jane She (PhD student-Biostatistics, 2023, UNC-Chapel Hill). Research interests include precision medicine and reinforcement learning.
Margaret (Molly) Hoch (PhD student-Biostatistics, 2024, UNC-Chapel Hill). Co-advised with Xinyi Li. Research interests include machine learning with functional data and precision health.
Jose Lopez (PhD student-Biostatistics, 2024, UNC-Chapel Hill). Research interests include machine learning, precision medicine and health disparities.
Hong Niu (PhD student-Biostatistics, 2024, UNC-Chapel Hill). Co-advised with Didong Li. Reearch interests include machine learning, generative AI, and precision health.
Emmanuel Rockwell (PhD student-Biostatistics, 2024). Co-advised with Nikki Freeman. Research interests include machine learning, precision health, and Bayesian methods.
Yating Zou (PhD student-Biostatistics, 2024, UNC-Chapel Hill). Research interest includes machine learning, reinforcement learning and empirical processes.
Postdoctoral Fellows
Rui Song, Ph.D. (2006-2008, UNC-Chapel Hill). Now: Senior Principal Scientist at Amazon.
Yair Goldberg, Ph.D. (2009-2011, UNC-Chapel Hill). Now: Professor of Data and Decision Sciences at the Technion-Israel Institute of Technology.
Daniel J. Luckett, Ph.D. (2018-2019, UNC-Chapel Hill). Now: Health Data Scientist at Genospace (Boston, MA).
Xinyi Li, Ph.D. (2019-2020, UNC-Chapel Hill). Now: Assistant Professor of Mathematical and Statistical Sciences at Clemson University.
Hunyong Cho, Ph.D. (2021-2022, UNC-Chapel Hill). Now: Applied Scientist at Amazon.
Lina M. Montoya, Ph.D. (2021-2024 , UNC-Chapel Hill). Now: Assistant Professor in the School Data Science and Society at UNC-Chapel Hill.
Teeranan (Ben) Pokaprakarn, Ph.D. (2022-2023, UNC-Chapel Hill). Now: Assistant Professor in the School of Medicine at UNC-Chapel Hill.
Nikki L.B. Fremman, Ph.D., (2023-2024, UNC-Chapel Hill). Now: Assistant Professor of Biostatistics & Bioinformatcs at Duke University.
Kyungbok Lee, Ph.D. (2024-, UNC-Chapel Hill).
John Sperger, Ph.D., (2024-, UNC-Chapel Hill).