Giovanni Parmigiani

Postdoctoral Fellows

Openings for Postdoctoral Fellowships

Current Postdoctoral Fellows

    Jie Ding
    Markov Chain Monte Carlo. Variable Selection. Network modeling.
    co-advised with Mike Ochs.

    Betty Doan
    Colorectal cancer screening models. Risk prediction in familial syndromes. Causal inference in linkage analysis.
    co-advised with Aravinda Chakravarti.

    Jeff Leek
    Microarray data analysis. False Discovery Rates. Cancer classification. Stem cell biology.

    Loris Mularoni
    Sequence data analysis. Transposon biology.
    co-advised with Sarah Wheelan.

    Rob Scharpf
    Cross-platform reproducibililty of microarrays. SNP chip analysis.
    primary advisor Ingo Ruczinski.

    Svitlana Tyekucheva
    High dimensional data analysis. DNA sequence data analysis. Gene set analysis.
    co-advised with Sarah Wheelan.

Former Postdoctoral Fellows

    Sierra Li, Assistant Professor, City of Hope Cancer Center
    Cancer bioinformatics. Bayesian modeling and variable selection.

    Suraj Peri, Research Scientist, Fox Chase Cancer Center
    Cancer genomics, gene expression databases and annotation, alternative splicing.

    Luigi Marchionni, Instructor, Department of Oncology, Johns Hopkins
    Genomics. Transcriptome analysis. Breast and Ovarian cancer. Gene set analysis.

    YuChuan Tai, Postdoctoral Fellow, Department of Genetics, UCSF
    Gene expression data analysis, longitudinal data, genetic epidemiology, changepoint models.

    Marcel Dettling, Investigator, Zuercher Hochschule, Winterthur, Switzerland.
    Genomics. Clustering and classification algorithms. Gene interactions.

    Qiushan Tao, Assistant Professor, Peking University Health Science Center
    Epidemiology and Genomics. Reproducibility of Bayesian networks. Integrative correlation.

    Fabio Marroni, Investigator, EURAC, Bolzano
    Genetic epidemiology of cancer. Cancer susceptibility prediction. Geographic Distribution of HLA haplotypes. Photobiology.

    Sining Chen, Assistant Professor, Department of Environmental Health Sciences, Johns Hopkins University
    Genetic epidemiology, gene-environment interactions. Cancer susceptibility prediction. Bayesian models, diagnostic testing, errors in response. Imaging.

    Jiangwen Zhang, Bauer Center for Genomic Research, Harvard University
    Molecular Biology. Fat synthesis genes. Predictors of response to chemotherapy in cancer.

    Edwin S Iversen, Assistant Research Professor, Institute of Statistics and Decision Sciences, Duke University
    Genetic epidemiology of cancer. Cancer susceptibility prediction. Gene-environment interactions. Gene expression data analysis. Bayesian models, diagnostic testing.