DIRECTORS
Giovanni Parmigiani
Giovanni Parmigiani is a Professor of Biostatistics in the Harvard T.H. Chan School of Public Health and the Associate Director for Population Sciences of the Dana-Farber / Harvard Cancer Center (DF/HCC). The DF/HCC is a consortium-based NCI-designated comprehensive cancer center built upon two Harvard Schools and five Harvard-affiliated research hospitals. It includes over one thousand principal investigators focusing primarily on cancer research. The training program combines strength of each of these three organizations. Leveraging the leadership roles of the PI, trainees have unique access to current cancer research trends, technologies and investigators, as well as a wealth of activities and resources provided by DFCI and DF/HCC. This sets the program aside from other training venues at HSPH, and gives it a strongly individual complexion centered on multidisciplinary cancer-oriented teams.
Dr. Parmigiani’s own research is in the development and application of statistical tools for cancer research, with particular focus on genetic epidemiology and genomics. His lab developed algorithms for familial risk prediction (BRCAPRO, MMRpro, MelaPro and PancPro) licensed to over six thousand users worldwide. Through this work he has acquired extensive experience in the methodology, validation, informatics implementation and primary care use of familial risk prediction models. In addition, he has been the main statistician and one of the senior authors for the first genome-wide somatic mutation analyses in cancer with the Vogelstein-Kinzler-Velculescu lab and for the first genome-wide analysis integrating somatic mutations with other types of genetic alterations. In clinical genomics, he developed a paradigm for comprehensive analyses of the cross-study reproducibility of prognostic models that are based on genomic data, and has evaluated the predictive capacity of personal genome sequencing. In methodology, his expertise covers a wide range of topics, including statistical methods for comparative effectiveness research; models for lifetime history of chronic disease outcomes; Bayesian meta-analysis; Bayesian causal inference; decision analysis, Bayesian modeling and computation; multilevel models; decision theoretic approaches to inference; sequential experimental designs and their application to adaptive studies in clinical and epidemiological research.
Additional details about his activities can be found at http://bcb.dfci.harvard.edu/~gp.
Dr. Quackenbush is Professor of Computational Biology and Bioinformatics and Chair of the Department of Biostatistics at the Harvard TH Chan School of Public Health (HCSPH) and is Professor of Biostatistics and Computational Biology at the Dana-Farber Cancer Institute (DFCI). Originally trained as a physicist, Dr. Quackenbush is a world-recognized expert in computational and systems biology with extensive experience in the generation and analysis of genomic data and its application to understanding of the mechanisms of human disease and in the development of integrative models for hypothesis generation from genomic data.
His research involves collection and analysis of integrated complex data, on developing new approaches to understanding cellular networks based on the integration of gene expression and other genomic data and information captured in public repositories, on integrating these data to develop networks that are informative as to the genetic factors driving complex disease, and to use these as a way of building predictive models. He also has been supported through the National Cancer Institute to use network and systems models to understand sexual dimorphism in colorectal cancer (5P50CA127003), to understand development of lung cancer (5P30CA006516-50), to model gene-environment interactions (1R35CA197449), and to analyze quantitative radiographic features as potential biomarkers (1U01CA190234, 1U24CA194354). He recently received an NCI Career Award (1R35CA220523) recognizing his outstanding history of innovative work in computational biology.
He directs the Quantitative Biomedical Research Center at HCSPH which, provides broad-based support for the analysis of complex, multifactorial biomedical data. This group has extensive expertise in sequence analysis, including genome sequencing, exome sequencing, ChIP-Seq, RNA-Seq small RNA-Seq, and single-cell RNA- Seq, as well as highly multiplexed targeted resequencing of human and microbial samples.
Dr. Quackenbush has trained nearly 60 postdoctoral fellows and graduate students and has mentored a number of junior faculty members since joining the Dana-Farber Cancer Institute and Harvard TH Chan School of Public Health in 2005. He was one of the co-developers of and co-director of the Master’s Program in Computational Biology and Quantitative Genetics at HCSPH. He previously served (for ten years) as the PI of HCSPH’s NIGMS Biostatistics and Bioinformatics T32 training and is currently PI of the BD2K T32 training grant (the BD2K T32 program ends in 2021). He has also mentored more than 20 minority and disadvantaged students in a variety of summer and school internship programs and has served as a mentor for a number of K-awards and mentored junior faculty in his department. In 2016, he was recognized as Mentor of the Year by the Postdoc and Graduate Student Organization at Dana-Farber. His experience as a T32 Director, strong mentoring record, and long history of NCI uniquely qualify him to serve as a co-Director for this project.
PRECEPTORS
Hugo Aerts, Ph.D.; Associate Professor of Radiation Oncology, Brigham and Women’s Hospital / Harvard Medical School
Martin Aryee, Ph.D.; Associate Professor of Pathology, Massachusetts General Hospital
Vincent Carey, Ph.D.; Professor, Department of Medicine, Harvard Medical School
Scott Carter, Ph.D.; Assistant Professor of Computational Biology, Department of Biostatistics, Harvard T. H. Chan School of Public Health
Francesca Dominici, Ph.D.; Professor and Senior Associate Dean for Research, Department of Biostatistics, Harvard T. H. Chan School of Public Health
Georg Gerber, M.D., Ph.D.; Assistant Professor of Pathology, Harvard Medical School Co-Director, Center for Clinical and Translational Metagenomics, and Director of the Computational Unit
Robert Gray, Ph.D.; Professor of Biostatistics, Harvard T. H. Chan School of Public Health and Dana-Farber Cancer Institute
Alexander (Sasha) Gusev, Ph.D.; Assistant Professor, Systems Biology, Harvard Medical School
Sahand Hormoz, Ph.D.; Assistant Professor, Department of Systems Biology, Harvard Medical School
Curtis Huttenhower, Ph.D.; Associate Professor, Computational Biology and Bioinformatics, Department of Biostatistics, Harvard T. H. Chan School of Public Health
Rafael Irizarry, Ph.D.; Professor, Department of Biostatistics, Harvard T. H. Chan School of Public Health and Dana-Farber Cancer Institute
Nancy Keating, M.D.; Professor, Department of Health Care Policy, Harvard Medical School
Peter Karchenko, Ph.D.; Associate Professor, Biomedical Informatics, Harvard Medical School
Jane Kim, Ph.D.; Professor of Health Policy and Management, Harvard T. H. Chan School of Public Health
Heng Li, Ph.D.; Assistant Professor, Biomedical Informatics, Harvard Medical School
Xihong Lin, Ph.D.; Professor, Department of Biostatistics, Harvard T. H. Chan School of Public Health
Xiaole Shirley Liu, Ph.D.; Professor, Department of Biostatistics, Harvard T. H. Chan School of Public Health and Dana-Farber Cancer Institute
Wendy London, Ph.D.; Associate Professor, Department of Pediatrics, Harvard Medical School, Director of Biostatistics (Medicine), Children’s Hospital Boston, and Director, Clinical Translational Investigation Program, Pediatric Hematology/Oncology, Dana-Farber Cancer Institute
Matthew Meyerson, M.D., Ph.D.; Professor of Pathology, Harvard Medical School, and Director, Center for Cancer Genome Discovery, Dana-Farber Cancer Institute
Franziska Michor, Ph.D.; Professor of Computational Biology, Department of Biostatistics, Harvard T. H. Chan School of Public Health
Jeffrey Miller, Ph.D.; Assistant Professor, Biostatistics, Harvard T. H. Chan School of Public Health
Lorelei Mucci, Sc.D.; Professor, Department of Epidemiology, Harvard T. H. Chan School of Public Health
Nikhil Munshi, M.D.; Professor, Department of Medicine, Harvard Medical School, and Associate Professor, Medical Oncology, Dana-Farber Cancer Institute
Rachel Nethery, Assistant Professor, Biostatistics, Harvard T. H. Chan School of Public Health
Shuji Ogino, M.D., Ph.D.; Professor, Department of Epidemiology, Harvard T. H. Chan School of Public Health
Peter Park, Ph.D.; Professor, Biomedical Informatics, Harvard Medical School
Giovanni Parmigiani, Ph.D.; Professor, Department of Biostatistics, Harvard T. H. Chan School of Public Health
Luca Pinello; Associate Professor, Molecular Pathology, Massachusetts General Hospital
Alkes Price, Ph.D.; Associate Professor, Departments of Epidemiology and Biostatistics, Harvard T. H. Chan School of Public Health
John Quackenbush, Ph.D.; Professor of Computational Biology and Bioinformatics, Department of Biostatistics, Harvard T. H. Chan School of Public Health and Dana-Farber Cancer Institute
Bernard Rosner, Ph.D.; Professor in the Department of Biostatistics, Harvard T. H. Chan School of Public Health, and Professor of Medicine (Biostatistics), Harvard Medical School
Mingyang Song, Sc.D.; Assistant Professor, Clinical Epidemiology and Nutrition,
Meir Stampfer, Dr.P.H., M.D.; Professor of Nutrition and Epidemiology, Harvard T. H. Chan School of Public Health / Professor, Department of Medicine, Harvard Medical School, and Physician and Associate Director, Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital
Lorenzo Trippa, Ph.D.; Associate Professor, Department of Biostatistics, Harvard T. H. Chan School of Public Health
Kasisomayajula Viswanath, Ph.D.; Professor of Health Communication, Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, and Professor of Health Communication, Population Sciences, Medical Oncology, Dana-Farber Cancer Institute
Guo-Cheng Yuan, Ph.D.; Associate Professor, Pediatric Oncology, Dana-Farber Cancer Institute
Cheng-Zhong Zhang, Ph.D.; Assistant Professor, Department of Biomedical Informatics, Harvard Medical School