Postdocs, Students, and Alumni

Research Associates

Xabier Garcia-De-Albeniz xgarciad@hsph.harvard.edu 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.

Kyu Ha Lee klee@hsph.harvard.edu 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.

Postdocs

Matt Cefalu mcefalu@hsph.harvard.edu 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.

Han Chen hanchen@hsph.harvard.edu 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.

Linda Valeri lvaleri@hsph.harvard.edu 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.

 

Alumni

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

Jun Chen jchen1981 @ gmail.com 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 ldicker@stat.rutgers.edu 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 david.m.diez@gmail.com 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.

Subharup Guha sguha@hsph.harvard.edu 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 sglee@hsph.harvard.edu 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 nirian.martin@uc3m.es 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 jmanjour@fas.harvard.edu Dr. Manjourides is an Assistant Professor in the Department of Health Sciences at Northeastern University specializing in Biostatistics.

Nezamoddin Nezamoddini-Kachouie nnezamod@hsph.harvard.edu 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 gen.nowak@anu.edu.au Dr. Nowak is a Research Assistant Professor in the School of Finance & Applied Statistics at the Australian National University.

Loni Philip Tabb lpp22@drexel.edu 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