Training Grant in Quantitative Sciences for Cancer Research
 


Directors & Preceptors






DIRECTORS

Giovanni Parmigiani, who is a Professor of Biostatistics in the Harvard T.H. Chan School of Public Health, the Chair of the Department of Biostatistics and Computational Biology at the Dana-Farber Cancer Institute (DFCI) 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.


Sebastien Haneuse, serves as the Program Co-Director of this training grant by working closely with Dr. Parmigiani in leading the program. Dr. Haneuse is an Associate Professor of Biostatistics at the Harvard T.H. Chan School of Public Health. His expertise is in the design and analysis of observational studies, primarily in the context of epidemiological studies. The broader themes of his current research interests include:

  • The use of biased sampling schemes to mitigate biases that commonly arise in observational studies and comparative effectiveness research, including confounding and selection bias.
  • The use of biased sampling schemes in the context of prediction studies.
  • The use of data from large, complex administrative databases for public health research, including Medicare, SEER-Medicare and electronic medical records.
  • The development of new strategies for monitoring and evaluation of public health programs in resourcelimited settings.
  • The analysis of semi-competing risks survival data, where interest lies the distribution of some nonterminal event but that observation time is subject to truncation by death.
  • The use of non-parametric Bayesian formulations to (i) gain insights into mechanisms and/or etiology, and (ii) overcome the consequences of model misspecification, particularly in the analysis of correlated or longitudinal data.
  • Methods for causal inference when the treatment of interest is continuous.
From a substantive perspective, Dr. Haneuse's current collaborations are in the following areas:
  • The long-term relative effects on weight of different treatment strategies for depression.
  • The comparative effectiveness of surgical weight loss treatments, including bariatric surgery.
  • Community programs that aim to increase parental engagement in the prevention of childhood obesity
  • Outcomes following thoracic surgery for lung and esophageal cancer.
  • Nationwide provider profiling for advanced health conditions, such as cancer and Alzheimers disease.
  • The evaluation of anti-retroviral treatment programs in Malawi.
Dr. Haneuse has published extensively in leading statistical journals as well as in leading medical/clinical journals. He is a member of the International Biometrics Society, the American Statistical Association, the International Society for Bayesian Analysis, and the Society for Epidemiologic Research. He has served as an Associate Editor for the Journal of the Royal Statistical Society (series C), the Journal of Alzheimer's Disease, the ISBA Bulletin, and BMC Research Methodology. Dr. Haneuse has been and is the PI and Co-Investigator for numerous methodologic and substantive cancer-related grants funded by NCI. These include previous grants R01CA125081 (PI), Design and Inference for Hybrid Ecological Studies, and U01CA086076 (Co- Investigator), Statistical Coordinating Center for the Breast Cancer Surveillance Consortium, as well as current grants R01CA181360 (PI), Clustered Semi-Competing Risk Analysis in Quality of End of Life Care Studies, R01CA175231 (Co-Investigator), Reducing skin cancer risk in childhood cancer survivors, and P01CA134294, Statistical Informatics for Cancer Research.


PRECEPTORS

Hugo Aerts, Ph.D.; Assistant Professor of Radiation Oncology, Brigham and Women's Hospital / Harvard Medical School

William Barry, Ph.D.; Lecturer, Department of Medicine, Harvard Medical School

Vincent Carey, Ph.D.; Associate Professor, Department of Medicine, Harvard Medical School

Rebecca Betensky, Ph.D.; Professor, Department of Biostatistics, Harvard T. H. Chan School of Public Health

Scott Carter, Ph.D.; Assistant Professor of Computational Biology, Department of Biostatistics, Harvard T. H. Chan School of Public Health

Paul Catalano, Sc.D.; Senior Lecturer in 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

Dianne Finkelstein, Ph.D.; Professor in the Department of Biostatistics, Harvard School of Public Health, Professor of Biostatistics in the Department of Medicine, Harvard Medical School, and Director of Biostatistics, Mass General Hospital Cancer Center

Levi Garraway, M.D., Ph.D.; Associate Professor, Department of Medicine, Harvard Medical School, and Assistant Professor of Medicine, Medical Oncology Service, Dana-Farber Cancer Institute

Richard Gelber, Ph.D.; Professor in the Department of Biostatistics, Harvard School of Public Health, and Professor of Pediatrics (Biostatistics), Harvard Medical School

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

Edward Giovannucci, M.D., Sc.D.; Professor of Nutrition and Epidemiology, Harvard School of Public Health, and Associate Professor of Medicine, Harvard Medical School

Robert Gray, Ph.D.; Professor of Biostatistics, Harvard T. H. Chan School of Public Health and Dana-Farber Cancer Institute

David Harrington, Ph.D.; Professor, Department of Biostatistics, Harvard T. H. Chan School of Public Health

Curtis Huttenhower, Ph.D.; Associate Professor of 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.; Associate Professor, Department of Health Care Policy, Harvard Medical School

Xihong Lin, Ph.D.; Professor and Chair, 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

Massimo Loda, M.D.; Professor, Department of Pathology, Harvard Medical School

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, Pedatric 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.; Associate Professor of Computational Biology, Department of Biostatistics, Harvard T. H. Chan School of Public Health

Lorelei Mucci, Sc.D.; Associate 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

Donna Neuberg, Sc.D.; Senior Lecturer on Biostatistics, Harvard T. H. Chan School of Public Health and Dana-Farber Cancer Institute

Shuji Ogino, M.D., Ph.D.; Associate Professor, Department of Epidemiology, Harvard T. H. Chan School of Public Health

Peter Park, Ph.D.; Associate Professor, Department of Pediatrics, Harvard Medical School

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

Meredith Regan, Sc.D.; Associate Professor of Medicine, Harvard Medical School, and Associate Professor, Biostatistics and Computational Biology, 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

Deborah Schrag, M.D.; Chief, Division of Population Sciences, Department of Medical Oncology / Senior Physician, Dana-Farber Cancer Institute, and Professor, Department of Medicine, Harvard Medical School

Glorian Sorensen, Ph.D.; Professor, Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, and Faculty Vice President for Faculty Development, Office for Faculty Development / / Director, Center for Community-Based Research, Dana-Farber Cancer Institute

Donna Spiegelman, Sc.D.; Professor of Epidemiologic Methods, Departments of Epidemiology and Biostatistics, Harvard T. H. Chan School of Public Health

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

Rulla Tamimi, Sc.D.; Associate Professor, Department of Epidemiology, Harvard T. H. Chan School of Public Health, and Harvard Medical School

Lorenzo Trippa, Ph.D.; Assistant Professor, Department of Biostatistics, Harvard T. H. Chan School of Public Health

Hajime Uno, Ph.D.; Assistant Professor, Department of Medicine, Harvard Medical School, and Assistant Professor, Biostatistics and Computational Biology, Dana-Farber Cancer Institute

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

Lee-Jen Wei, Ph.D.; Professor, Department of Biostatistics, Harvard T. H. Chan School of Public Health

Guocheng Yuan, Ph.D.; Associate Professor of Computational Biology and Bioinformatics, Department of Biostatistics, Harvard T. H. Chan School of Public Health Associate Professor, Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute