Current Postdocs
Current PhD Students
Current Master's Students
- Ziqian Wei
- Jingrui Zhuang
Current Undergraduate Students (Honor's Thesis)
Past Postdocs
- Heejong Bong (2023-2025, joint with Elizaveta Levina)
Currently working as Assistant Professor in the Department of Statistics at Purdue University
- Tiffany Tang (2023-2024, joint with Elizaveta Levina)
Currently working as Assistant Professor in the Department of Applied and Computational Mathematics and Statistics at University of Notre Dame
- Octavio Mesner (2020-2023, joint with Elizaveta Levina)
Currently working as Research Assistant Professor in the Brown School at Washington University in St. Louis
- Robert Lunde (2021-2022, joint with Elizaveta Levina)
Currently working as Assistant Professor in the Department of Statistics and Data Science at Washington University in St. Louis
- Xianshi Yu (2018-2021, joint with Akbar Waljee)
Currently working as Senior Data Scientist at StackAdapt
- Wenshuo Liu (2017-2019, joint with Brahmajee Nallamothu)
Currently working as Staff Machine Learning Engineer at Reddit
- Gun-Woong Park (2016-2018, joint with Elizaveta Levina)
Currently working as Associate Professor in the Department of Statistics at Seoul National University (in South Korea)
- Xiaohang Zhang (2015-2018, joint with Su-Bang Choe)
Currently working as Professor in the School of Economics and Management at Beijing University of Posts and Telecommunications (in China)
Past PhD Students
- Bo Meng (2025, joint with Gongjun Xu)
Thesis title: Statistical learning for recurrent event and complex network data
Currently working as Quantitative Researcher at Jump Trading Group
- Jinming Li (2024, joint with Gongjun Xu)
Thesis title: Statistical learning and inference for network data via latent space models
Currently working as Quantitative Researcher at Susquehanna International Group (SIG)
- Simon Fontaine (2024, joint with Jian Kang)
Thesis title: Statistical models for dependent data
Currently working as Postdoctoral Researcher at Pennsylvania State University
- Cheng Ma (2023)
Thesis title: Statistical latent space models for international classification of diseases codes
Currently working as Quantitative Researcher at Sunrise Futures
- Peter MacDonald (2023, joint with Elizaveta Levina)
Thesis title: Structured latent space models for multiplex networks
Currently working as Assistant Professor in the Department of Statistics and Actuarial Science at University of Waterloo
- Weijing Tang (2022)
Thesis title: Statistical learning for large-scale and complex-structured data
Currently working as Assistant Professor in the Department of Statistics and Data Science at Carnegie Mellon University
- Xuefei Zhang (2020)
Thesis title: Statistical analysis of network data using matrix-variate models and latent space models
Currently working as Data Scientist at Google
- Hyesun Yoo (2020)
Thesis title: Statistical tools for directed and bipartite networks
Currently working as Data Scientist at Google
- Yumu Liu (2020)
Thesis title: Statistical methods for networks with node covariates
Currently working as Data Scientist at Google
- Wenyi Wu (2019)
Thesis title: Scalable classification methods with applications to healthcare claims and automotive dealership data
Currently working as Senior Applied Scientist at Amazon
- Boang Liu (2019)
Thesis title: Statistical learning for networks with node features
Currently working as Senior Data Scientist at Google
- Tianxi Li (2018, joint with Elizaveta Levina)
Thesis title: Statistical tools for network data: prediction and resampling
Currently working as Associate Professor in the Department of Statistics at University of Minnesota
- Yun-Jhong Wu (2017, joint with Elizaveta Levina)
Thesis title: Link prediction and denoising in networks
Currently working as High Frequency Trading Quant at Stealth Mode
- Cheng Qian (2017)
Thesis title: Some advances on modeling high-dimensional data with complex structures
Currently working as CEO at Quantinv Asset Management (in China)
- Yuan Zhang (2016, joint with Elizaveta Levina)
Thesis title: Statistical network analysis - beyond block models
Currently working as Associate Professor in the Department of Statistics at Ohio State University
- Yiwei Zhang (2016)
Thesis title: Some contributions to regularization and optimization methods for high-dimensional data
Currently working as Principal Scientist at Merck
- Zhanyang Zhang (2014, joint with Vijay Nair)
Thesis title: Predictive models and calibration analysis in large-scale computational studies
Currently working as Machine Learning Engineer Manager at Meta
- Ashin Mukherjee (2013, joint with Naisyin Wang)
Thesis title: Topics on reduced rank methods for multivariate regression
Currently working as VP of Data Science at Quantifind
- Jie Cheng (2013, joint with Elizaveta Levina)
Thesis title: Mixed and covariate dependent graphical models
Currently working as Senior Data Scientist at Google
- Yunpeng Zhao (2012, joint with Elizaveta Levina)
Thesis title: Statistical inference for some problems in network analysis
Currently working as Associate Professor in the Department of Statistics at Colorado State University
- Yun Li (2012, joint with Naisyin Wang)
Thesis title: Statistical parameter estimation for ordinary differential equations
Currently working at PubMatic
- Jian Guo (2011, joint with Elizaveta Levina and George Michailidis)
Thesis title: Statistical problems in high-dimensional unsupervised learning
Currently working as CEO at DeepX Asset Management (in China)
- Adam Rothman (2010, joint with Elizaveta Levina)
Thesis title: Estimation of high-dimensional covariance matrices
Currently working as Professor in the Department of Statistics at University of Minnesota
- Nengfeng Zhou (2009)
Thesis title: Sparse model identification for high dimensional data
Currently working as SVP, Principal Quantitative Analytics Consultant at Wells Fargo
- Lacey Gunter (2009, joint with Susan Murphy)
Thesis title: Variable selection for decision making
Currently working as private consultant and Adjunct Faculty at Brigham Young University
- Nam-Hee Choi (2009, joint with Kerby Shedden)
Thesis title: Investigation of smooth and non-smooth penalties for regularized model selection in regression
Currently working as Mathematical Statistician at US Food and Drug Administration
- Sijian Wang (2008, joint with Bin Nan)
Thesis title: High-dimensional survival data analysis and its application to microarray data
Currently working as Professor in the Department of Statistics at Rutgers University
- Li Wang (2008, joint with Michael Gordon)
Thesis title: Efficient regularized solution path algorithms with applications in machine learning and data mining
Currently working as CEO at Harvest Asset Management (in China)
- Youjuan Li (2007)
Thesis title: Efficient computation and model selection for regularized quantile regression
Currently working as Data Science Director of AIML at Apple
Past Master's Students
- Leshan Song (2025)
Currently PhD student in the Department of Statistics at University of Pittsburgh
- Yi-Syuan Yen (2023)
Currently PhD student in the Department of Statistics at University of California, Davis
- Shuyan Li (2022)
Currently working at New Development Bank in Shanghai, China
- Wenjing Zhou (2021)
Currently working at Amazon in Seattle, WA
- Yueyang Zhang (2021)
Currently working at ByteDance in Beijing, China
- Songkai Xue (2020)
Currently working at Huawei in Shanghai, China
- Runwei Wang (2020)
- Hang Yuan (2018)
Currently working at International Digital Economy Academy (IDEA) in Shenzhen, China
- Bingjie Xu (2017)
- Xueqing Li (2016)
Currently working at Amazon Web Services in Shanghai, China
- Xiaomeng Ju (2015)
Currently working in School of Medicine at New York University
- Zhengling Qi (2015)
Currently working as Associate Professor in School of Business at George Washington University
Past Undergraduate Students (Honor's Thesis)
- Yuan Qian (2025)
Thesis title: An investigation of evaluation metrics for synthetic longitudinal data
- Xiaoran Chen (2025)
Thesis title: Asymmetric heterogeneous block model for enhanced community detection in directed and bipartite networks
- Xinya Xu (2024)
Thesis title: Inferring trait-relevant tissues using joint network latent factor models
- Xianchen Yang (2023)
Thesis title: A deep learning approach for mortality prediction with ICD-9 code
- Yueying Hu (2023)
Thesis title: Application of supervised and semi-supervised learning prediction models to predict progression to cirrhosis in chronis hepatitis C
- Xinyi Xie (2022)
Thesis title: Logistic regression with log-contrast transformation
- Sydney Chen (2021)
Thesis title: Benchmark ICD code embeddings: preserving permutation invariance matters
- Chenkai Sun (2020)
Thesis title: Missing value imputation for network data with variational graph neural networks
- Ziyang Shao (2020)
Thesis title: College ranking based on pairwise preferences
- Tiantian Ye (2018)
Thesis title: Medical imaging classification building upon pre-trained neural networks: an application to diabetic retinopathy detection
- Xiao Tan (2018)
Thesis title: Forecasting stock returns in the Chinese market with convolutional neural networks
- Chuying Ma (2017)
Thesis title: Ranking financial assets using the linear rank support vector machine
- Yishu Xu (2016)
Thesis title: Predicting the movement of future index using neural networks and random forests
- Jiyang Liu (2015)
Thesis title: Application of machine learning algorithms to the Chinese future's market
- Rita Lee (2014)
Thesis title: Application of machine learning algorithms to predict response of patients with inflammatory bowel disease to thiopurines
- Yiqun Hu (2013)
Thesis title: High-dimensional covariance estimation for financial risk management
Last modified: Sat Dec 6 2025