Current Postdoctoral Fellows
Andrea Arfè, 2019--
Adaptive clinical trials, multi-study analysis of real world data in clinical research.
Theo Huang, 2019-- Joint with Danielle Braun
Mendelian Risk Prediction, Genetic Epidemiology.
Boyu Ren, 2017--
Bayesian Modeling. Big Data in Health Care. Multi-study machine learning.
Anil Samur, 2016-- Joint with Nikhil Munshi
Alternative splicing, multiple myeloma genomics.
Former Postdoctoral Fellows
Prasad Patil, 2016--2019
Now: Assistant Professor, Department of Biostatistics, Boston University.
Interests: Multi-study Machine Learning, personalized medicine, genomic biomarker development, prediction, study reproducibility and replicability, data visualization.
Marco Roncador, 2016--2019
Now: Clinica Luganese Moncucco Hospital, Lugano, CH
Interests: Multiple Myeloma Genomics
Nathanael Fillmore, 2015--2017 Joint with Nikhil Munshi
Now: Associate Director for Machine Learning and Predictive Analytics, Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) Boston.
Interests: Machine learning, medical informatics, multiple myeloma
Danielle Braun, 2015--2017
Now: Research Scientist, Department of Biostatistics, Harvard Chan School of Public Health & Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston.
Interests: Precision prevention; inherited cancer syndromes; genetic testing; natural langual processing; measurement error, environmental epidemiology.
David Mosen, 2014--2016 Joint with Nikhil Munshi
Now: UK MED-BIO Project Bioinformatician, Imperial College London.
Interests: Statistical analysis of high-throughput genomics; Genomic copy number analysis in cancer; Algorithmics and optimization problems
Mehmet Samur, 2013--2015 Joint with Nikhil Munshi
Now: Instructor, Dana-Farber Cancer Institute and Harvard Medical School, Boston.
Interests: Bioinformatics, Genomics and Computational Biology, Next generation sequencing and integrative data analysis. RNA biology and non-coding RNAs.
Alice Cleynen, 2013--2015 Joint with Nikhil Munshi
Now: Chargée de recherche CNRS, Institute Montpellierain Alexander Grothendiek, Montpeillier.
Interests: Statistical genetics; Decision theory, survival analysis, model selection
Naim Rashid, 2013--2014 Joint with Nikhil Munshi
Now: Research Assistant Professor, University of North Carolina at Chapel Hill
High dimensional data analysis, genomics, statistical genetics, next generation sequencing data analysis, classification, variable selection in non-independent data
Steffen Ventz, 2012--2015 Joint with Lorenzo Trippa.
Now: Research Scientist, Department of Biostatistics and Computational Biology, DFCI.
Interests: Adaptive clinical trials, next generation sequencing methodology.
Reuma Admanit, 2012--2015 Joint with Becky Gelman
Now: Senior Research Scientist at FM Global, Boston
Interests: Ovarian cancer prognosis, AIDS research
Jie Ding, 2009--2013
Now: Senior Research Scientist, Stanford University
Interests: Markov Chain Monte Carlo. Variable Selection. Statistical genomics.
Levi Waldron, 2010--2013 Joint with Curtis Huttenhower
Now: Assistant Professor, Hunter College, New York.
Interests: Translational bioinformatics, high-throughput molecular epidemiology, cross-study replicabiilty of predictions.
Cristian Tomasetti, 2010--2013
Now: Associate Professor, Johns Hopkins University
Interests: Mathematical modeling of cancer evolution, drug resistance, stem cell dynamics.
Hsun-Hsien Chang, 2010--2013
Now: Patent Agent, nuTonomy
Emanuele Mazzola, 2010--2012
Now: Research Scientist, Dana-Farber Cancer Institute
Interests: Micorsimulation Models; Bayesian models for disease incidence and progression.
Corrie Joshu, 2009
Now: Assistant Professor of Epidemiology, Johns Hopkins Bloomberg School of Public Health
Interests: Colorectal cancer risk prediction
Victoria Wang, 2009--2011
Now: Research Scientist, Dana-Farber Cancer Institute
Interests: Cancer genome projects. Cross-platform genomic integration. Ovarian cancer prognosis using high throughput data.
Lorenzo Trippa, 2009--2011
Now: Associate Professor, Dana-Farber Cancer Institute and Harvard School of Public Health
Interests: Bayesian Nonparametrics, Familial Cancer Risk Prediction, Adaptive Clinical Trials
Svitlana Tyekucheva, 2008--2011
Now: Research Scientist, Dana-Farber Cancer Institute
Interests: High dimensional data analysis. DNA sequence data analysis. Gene set analysis.
Jeff Leek, 2008--2009
Now: Associate Professor. Department of Biostatistics, Johns Hopkins University
Interests: Microarray data analysis. False Discovery Rates. Cancer classification. Stem cell biology.
Loris Mularoni
2008--2009
Now: Postdoctoral Fellow, Institute for Resarch in Biomedicine. Interests: Sequence data analysis. Transposon biology.
Sierra Li, 2006--2008
Now: Associate Research Professor, City of Hope Cancer Center
Interests: Cancer bioinformatics. Bayesian modeling and variable selection.
Betty Doan, 2005--2006
Interests: Colorectal cancer screening models. Risk prediction in familial syndromes.
Causal inference in linkage analysis.
Suraj Peri, 2004--2007
Now: Assistant Research Professor, Fox Chase Cancer Center
Interests: Cancer genomics, gene expression databases and annotation, alternative splicing.
Luigi Marchionni, 2005--2007
Now: Associate Professor, Department of Oncology, Johns Hopkins
Interests: Genomics. Transcriptome analysis. Breast and Ovarian cancer. Gene set analysis.
YuChuan Tai, 2005--2008
Now: Statistician, Roche, Pleasanton
Interests: Gene expression data analysis, longitudinal data, genetic epidemiology, changepoint models.
Marcel Dettling, 2006
Now: Investigator, Zuercher Hochschule, Winterthur, Switzerland.
Interests: Genomics. Clustering and classification algorithms. Gene interactions.
Qiushan Tao, 2005--2006
Interests: Epidemiology and Genomics. Reproducibility of Bayesian networks. Integrative correlation.
Jiangwen Zhang, 2003--2005
Now: Associate Professor, Biological Sciences, The University of Hong Kong
Interests: Molecular Biology. Fat synthesis genes. Predictors of response to chemotherapy in cancer.
Sining Chen, 2002--2005
Now: Chief Analytics Officer at MiesJansen
Interests: Genetic epidemiology, gene-environment interactions. Cancer susceptibility prediction. Bayesian models, diagnostic testing, errors in response. Imaging.