Steffen Ventz
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Affiliation
Assistant Professor of Biostatistics and Contact Information
University Office Plaza, Ste 200 Full Curriculum VitaeCV (last updated 11/2022) |
Announcements & Recruitments
Post-doctoral position: My group is looking to recruit a post-doctoral fellow (see here for details). If interested, send me an email with your CV and a cover letter outlining your research interests.
RA, PhD, Plan-B positions: If you are a graduate student at UMN, and are interested in working with me and my group (Research Assistant, PhD thesis projects, plan B projects, collaborative research projects), send me an email or stop by my office.Education
PostDoc in Biostatistics, Harvard University, Boston 2013-2015
Ph.D. in Mathematical Statistics, Bocconi University, Italy, 2013
M.Phil in Mathematical Statistics, Bocconi University, Italy, 2010
M.A. in Mathematical Demography, University of Rostock, Germany, 2007
B.S. in Mathematical Demography, University of Rostock, Germany, 2005
About me
I am an assistant professor of biostatistics in the Division of Biostatistics
at the University of Minnesota.
Before joining UMN, I was a faculty member of the Department of Data Science
at the Dana Farber Cancer Institute
and the Department of Biostatistics
at the Harvard T.H. Chan School of Public Health.
Prior to HSPH and DFCI, I spent a couple of years as an assistant professor at the
University of Rhode Island,
where I was also affiliated with the Department of Computer Science and Statistics.
I obtained my PhD in Statistics from Bocconi University
in Milan, Italy, under the supervision of Pietro Muliere and
completed PostDoctoral training at the Harvard T.H. Chan School of Public Health.
My research interests are mainly in response-adaptive designs, statistical computation,
Bayesian decision theory, Bayesian analyses, meta-analysis, transfer learning, and causal inference.
I've done work on information theory, Bayesian dose-finding methods, platform and basket trials,
statistical inference under adaptive sampling designs, causal inference and computational biology.
My recent research interests focus on model-based clustering, data fusion, transfer learning, and causal inference.
Recent collaborative projects have involved applications in cancer, infectious diseases, and cardiovascular disease.
See my Papers page for more details.
Research Interests
Bayesian statistics and statistical decision theory
Statistical computing, Monte-Carlo optimization
Adaptive methods for sequential statistics experiments
Data integration and predictions
Panelized and shrinkage estimation
Causal inference
Academic Experience
Assistant Professor,
Division of Biostatistics,
University of Minnesota, 2022-
Research Scientist,
Department of Biostatistics,
Harvard University, 2018-2022
Research Scientist,
Program in Regulatory Science,
Dana-Farber Cancer Institute, 2018-2022
Assistant Professor,
Department of Computer Science and Statistics, University of Rhode Island, 2015 - 2018
Visiting Scientist,
Department of Biostatistics and Computational Biology,
Dana-Farber Cancer Institute, 2015 - 2018
Research Fellow,
Department of Biostatistics,
Harvard University, 2013-2015
Research Fellow,
Department of Biostatistics and Computational Biology,
Dana-Farber Cancer Institute 2013-2015