Keynote Speaker

Prof. Susan A. Murphy

Professor of Statistics, Radcliffe Alumnae Professor at the Radcliffe Institute and Professor of Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences Harvard University

Susan Murphy is Professor of Statistics at Harvard University, Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University, and Professor of Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences.  Her current research interests concern clinical trial design and the development of data analytic methods for informing multi-stage decision making in health, particularly in mobile health.   She is a 2013 MacArthur Fellow, a member of the National Academy of Sciences and the National Academy of Medicine, both of the US National Academies.   She is currently president of the Bernoulli Society and incoming president of the Institute for Mathematical Statistics.

Prof. Xiao-Li Meng

Department of Statistics, Harvard University, Cambridge, Massachusetts, United States of America

Xiao-Li Meng, Founding Editor-in-Chief of Harvard Data Science Review, is the Whipple V. N. Jones Professor and former chair of Statistics at Harvard, and former Dean of the Harvard University Graduate School of Arts and Sciences (GSAS), is well known for his depth and breadth in research, his innovation and passion in pedagogy, and his vision and effectiveness in administration, as well as for his engaging and entertaining style as a speaker and writer. Meng has received numerous awards and honors for the more than 120 publications he has authored in at least a dozen theoretical and methodological areas, as well as in areas of pedagogy and professional development; he has delivered more than 400 research presentations and public speeches on these topics, and he is the author of “The XL-Files," a regularly appearing column in the IMS (Institute of Mathematical Statistics) Bulletin. His interests range from the theoretical foundations of statistical inferences (e.g., the interplay among Bayesian, frequentist, and fiducial perspectives; quantify ignorance via invariance principles; multi-phase and multi-resolution inferences) to statistical methods and computation (e.g., posterior predictive p-value; EM algorithm; Markov chain Monte Carlo; bridge and path sampling) to applications in natural, social, and medical sciences and engineering (e.g., complex statistical modeling in astronomy and astrophysics, assessing disparity in mental health services, and quantifying statistical information in genetic studies). Meng received his BS in mathematics from Fudan University in 1982 and his PhD in statistics from Harvard in 1990. He was on the faculty of the University of Chicago from 1991 to 2001 before returning to Harvard as Professor of Statistics, where he was appointed department chair in 2004 and the Whipple V. N. Jones Professor in 2007. He was appointed GSAS Dean on August 15, 2012.

Prof. Peter Bühlmann

Professor of Statistics and Mathematics and Director of ETH Foundations of Data Science, ETH Zürich.

Peter Bühlmann is Professor of Mathematics and Statistics, and Director of ETH Foundations of Data Science at ETH Zurich. He studied mathematics at
ETH Zurich and received his doctoral degree in 1993 from the same institution. After being postdoctoral research fellow from 1994-1995 and Neyman assistant professor from 1995-1997 at UC Berkeley, he returned to ETH Zurich.  

His main research interests are in high-dimensional and computational statistics, machine learning, causal inference and interdisciplinary applications in the bio-medical field.

He has guided 27 doctoral students to date. He has been a highly cited researcher in mathematics during the last several years and received various awards, including: Golden Tricycle Award for most family-friendly supervisor at ETH Zurich, Doctor Honoris Causa from the Université Catholique de Louvain, Rothschild fellow and lecturer at the Isaac Newton Institute, Neyman lecturer at the annual meeting of the Institute of Mathematical Statistics, invited speaker at the International Congress of Mathematicians, and recipient of the Guy Medal in Silver from the Royal Statistical Society in 2018.

PhD Sarah Zohar

Director of Research at the French National Institute of Health and Medical Research (INSERM, Paris)

Sarah Zohar has made many methodological contributions in Bayesian adaptive designs and methods for early phase clinical trials. These designs were applied to many clinical trials in cancer and pediatrics among other fields. She has collaborated with physicians in the design, planning, conducting and analyzing clinical trials and with international methodological experts from USA, Japan and Europe.

Dr. Hamish S F Fraser

Associate Professor of Medical Science, Brown University

Dr. Fraser trained in General Medicine, Cardiology and Knowledge Based Systems at Edinburgh University, and completed a fellowship in clinical decision making at MIT. His work has also focused on developing medical informatics tools for some of the most challenging environments in low income countries.  As Director of Informatics at the leading Healthcare NGO Partners In Health, co-founded and co-leads OpenMRS an open source EHR project. He was an Assistant Professor of Medicine at Harvard Medical School from 2006 – 2015, and from 2016-2018 was chair of the Global Health Informatics working group at AMIA.

His main academic focus is in the evaluation of medical information systems, and understanding the impact of information and communications on quality of healthcare world wide. His recent work includes evaluation of diagnostic decision support systems for patients, and on evaluation of the usage, costs and impact of decisions support systems in the OpenMRS EHR for HIV care in Rwanda.

Prof. Philippe Lambin

Head of the Department of Precision Medicine, Maastrich University, Netherlands

Local Organizer:

Institute of Biometry and Clinical Epidemiology
Charité - Universitätsmedizin Berlin & Berlin Institute of Health