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Program in Regulatory Science Research Team

  • Brian M. Alexander, MD, MPH, PRS Co-Director
    bmalexander@partners.org
    Brian Alexander, MD, MPH, is an Associate Professor of Radiation Oncology at Harvard Medical School and the Deputy Director for Regulatory Science at the Harvard Program in Therapeutic Science. He serves as Disease Center Leader for Radiation Oncology, Center for Neuro-Oncology, at Dana-Farber/Brigham and Women's Cancer Center. Alexander's research interests include innovations in preclinical and clinical evidence generation and analysis to support therapeutic and biomarker development and clinical trial innovations, including platform trials. He previously served as a White House Fellow and is a graduate of the University of Michigan Medical School and the Harvard School of Public Health.
    View Dr. Alexander's publications

    Lorenzo Trippa, PhD, PRS Co-Director
    lorenzo_trippa@dfci.harvard.edu
    Lorenzo Trippa, PhD, is an Associate Professor in the Department of Biostatistics and Computational Biology at Dana-Farber, and an Associate Professor in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health. His research interests include clinical trials design; Bayesian nonparametrics; the development of prediction models in personalized medicine; computational methods for Bayesian adaptive designs; computational methods for Bayesian inference; and meta-analyses in personalized medicine. Trippa is a winner of the Savage PhD Thesis Award from the International Society for Bayesian Analysis. He holds a PhD in Statistics from Bocconi University, Milan, Italy, and an MS in Statistics (cum laude) from Milan's Bicocca University.
    View Dr. Trippa's publications

    Andrea Arfè, Statistics PhD Candidate, Bocconi University, Milan, Italy
    aarfe@jimmy.harvard.edu
    andrea.arfe@phd.unibocconi.it
    Andrea Arfè's current research interests focus on statistical methods for clinical research, especially Bayesian non-parametric approaches for complex survival data, adaptive clinical trials, decision-theoretic approaches for clinical trials, and causal inference.

    Tianqi Chen, Statistician
    tchen@jimmy.harvard.edu
    Tianqi Chen's interests include clinical trials and Bayesian adaptive designs, as well as natural language processing (NLP) to extract key information from scientific literature.

    Geoffrey Fell, Statistician
    gfell@jimmy.harvard.edu
    Geoffrey Fell is principally focused on information extraction from biomedical texts, and on large-scale comprehensive meta-analyses of the cancer-drug pipeline. His research aims to improve the way clinical trials are designed by offering investigators a set of tools to quantify their decision-making.

    Alyssa Vanderbeek, Data Coordinator
    alyssa_vanderbeek@dfci.harvard.edu
    Alyssa Vanderbeek is interested in Phase II clinical trial design, biostatistical methods, bioinformatics, health policy, and rare diseases. Her work aims to improve clinical trial designs, with the goal of enhancing the efficiency and outcomes of drug development for patients and researchers.

    Steffen Ventz, Assistant Professor, Department of Computer Science and Statistics, University of Rhode Island
    sventz@cs.uri.edu
    Steffen Ventz's interests include the design of clinical trials, Bayesian decision theory, response-adaptive methods, meta-analyses and integrative analyses of multiple studies, prediction medicine, and Monte Carlo methods.