Postdocs

 

Current Postdoctoral Fellows

Boyu Ren, 2017--
Bayesian Modeling. Big Data in Health Care. Hidden Markov Models. Pharmacy prescription drug data analysis.

Prasad Patil, 2016--
Multi-study Machine Learning, personalized medicine, genomic biomarker development, prediction, study reproducibility and replicability, data visualization.

Anil Samur, 2016-- Joint with Nikhil Munshi
Alternative splicing, multiple myeloma genomics.

    Former Postdoctoral Fellows

    Nathanael Fillmore, 2015--2017 Joint with Nikhil Munshi
    Now: Scientist, 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.