Postdocs, Students, and Alumni

Research Associates & Scientists

Kyu Ha Lee Dr. Lee is currently a Research Associate in the Department of Biostatistics. He is developing Bayesian statistical models to analyze cancer data under the supervision of Dr. Francesca Dominici and Dr. Brent Coull. His research interests include: Bayesian survival analysis, variable selection, and their applications in high dimensional analysis.

Yun Wang Yun Wang is a Senior Research Scientist in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health. Yun ttakes the responsibility for data integration, data management, and data security for this project. His research focuses on using statistical methods to develop and integrate very large and heterogeneous information system to support outcomes research in the healthcare area. He has extensive knowledge and experience in working with various government databases, including Medicare data, environmental data, medical record abstracted data, and other public and private healthcare data.


Han Chen After reiceving his Ph.D. from Boston University in 2013, Dr. Chen joined the Department of Biostatistics. His research interests include: statistical genetics and genomics, mixed models theory and application, high dimensional data analysis, meta-analysis, and survival analysis.

Chanmin Kim Dr. Kim received undergraduate degrees in Business and History in Korea before going on to earn her master's degree in statistics from Columbia University and her Ph.D. from the University of Florida. She is currently a postdoctoral research fellow in the Department of Biostatistics.

Linda Valeri Dr. Valeri received undergraduate and masters degress from Bocconi University in Italy before earning her A.M. and Ph.D. at Harvard where she is now a Research Fellow in the Department of Biostatistics. Dr. ValeriI works on statistical methods for causal mediation analysis. This field of causal inference is relevant for comparative effectiveness research, evaluating and improving policy recommendations, and explaining biological mechanisms. Her dissertation has focused on developing methods and computational tools for mediation analysis under the counterfactual framework in the presence of interactions and measurement error. Currently, she isinterested in the analysis of pathways in longitudinal and time to event data.

Ander Wilson Dr. Wilson is a Postdoctoral Research Fellow in the Department of Biostatistics. Ander received a BA in mathematics from the University of Vermont and a MS and PhD in statistics from North Carolina State University.



Yuanyuan Shen Yuanyuan is Ph.D. candidate in Biostatistics. Her research focuses on developing statistical methods to improve personalized medicine. She also does collaborative work with clinicians and hospital-based researchers as a data scientist.

Godwin Yung Godwin is Ph.D. candidate in Biostatistics and is currently working on four projects. Two are for his dissertation and involve developing and applying novel statistical methods for re-using data from case-control genetic association studies to answer additional scientific questions. Third project is a collaborative effort with Massachusetts General Hospital to identify resistance biomarkers of Bevacizumab, a drug for advanced colorectal cancer. Fourth project is an effort with Hong Kong Polytechnic University to differentiate between gene co-expression networks of healthy patients and patients with chronic myelogenous leukemia. Responsibilities for non-dissertation projects include developing new statistical methods and performing simulations and data analysis. All four works are being written up for publication.


Nikolay Bliznyuk Dr. Bliznyuk is a Research Assistant Professor in the Department of Statistics at Texas A&M University.

Matt Cefalu Dr. Cefalu earned is A.M. and Ph.D. in Biostatistics at Harvard. He now remains in the Department of Biostatistics as a resarch fellow. He focuses on the development of statistical methods for robust and efficient effect estimation, with a focus on Bayesian and semi-parametric methods for large and complex datasets in causal inference. He draws motivation for the methods from two sources important in public health: the epidemiology of environmental contaminants and studies of the comparative effectiveness of treatments in populations that were not, and many times cannot be, subjected to a randomized trial.

Jun Chen jchen1981 @ Jun Chen joined the Department of Biostatistics as a Postdoctoral Research Fellow after earning his Ph.D. in Genomics and Computational Biology at the University of Pennsylvania in 2012.

Lee Dicker Dr. Dicker is an Assistant Professor in the Department of Statistics and Biostatistics at Rutgers University. His research interests include: high-dimensional data analysis (1) shrinkage estimation and regularization (2) applications of random matrix theory (3) sparsity testing, diabetes technology, statistics in finance, and statistical analysis of genomic and proteomic data

David Diez Dr. Diez is a Quantitative Analyst at Google/Youtube where he works with massive data sets and performs statistical analyses in areas such as user behavior and forecasting.

Xabier Garcia-De-Albeniz A Medical Oncologist trained in Barcelona, Dr. Garcia-De-Albeinz earned his Sc.M. from Harvard in 2012. He is currently a Research Associate in the Department of Epidemiology and a Board Member of The Multidisciplinay Spanish Group of Digestive Cancer (GEMCAD) where he collaborates on designing and analyzing clinical research. His main areas of interest include: comparative effectiveness of cancer-related interventions using claims databases, evaluation of dynamic strategies of treatment in prostate cancer, genetic epidemiology of colorectal cancer, and design and analysis of clinical trials and observational clinical researc.

Subharup Guha Dr. Guha is an Assistant Professor in the Statistics Department at the University of Missouri-Columbia. His research interests include: Bayesian modeling, mixture models, statistical computing, spatial statistics, cancer genomics, survival analysis, hidden markov models, semiparametric Bayesian methods, MCMC simulation, generalized linear models, and statistical methods for large datasets

Seunggeun Lee Dr. Lee is an Assistant Professor of Biostatistics at the Michigan University School of Public Health. His research focuses on developing statistical and computational methods for the analysis of the large-scale high-dimensional genomic data, which is essential to better understand the genetic architecture of complex diseases and traits.

Nirian Martin Dr. Martin is an Assistant Professor in the Department of Statistics at Carlos III University of Madrid in Spain. Her current research interests are Categorical Data Analysis, Change Points, Empirical Likelihood, Generalized Linear Models, Order Restricted Statistical Inference, and Regression Diagnostics.  

Justin Manjourides Dr. Manjourides is an Assistant Professor in the Department of Health Sciences at Northeastern University specializing in Biostatistics.

Nezamoddin Nezamoddini-Kachouie Dr. Nezamoddini-Kachouie is an Assistant Professor in the Mathematical Sciences Department at the Florida Institute of Techonology. His research focuses on designing high-throughput analysis andscreening systems for CNV, microarrays, and microscopic image sequences. His methodological interests include spatiotemporal analysis, wavelets, polynomial regression, andlinear programming. He has developed several algorithms for detection,segmentation, classification, and tracking to study cell behavior andenvironmental research.

Gen Nowak Dr. Nowak is a Research Assistant Professor in the School of Finance & Applied Statistics at the Australian National University.

Loni Philip Tabb Dr. Tabb is an assistant professor in the Department of Epidemiology and Biostatistics at Drexel University School of Public Health.


Copyright by Xihong Lin, 2011