Steffen Ventz

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Steffen Ventz

 

Affiliation

Assistant Professor of Biostatistics and
Medtronic Faculty Fellow

Division of Biostatistics and Health Data Science,
School of Public Health,
University of Minnesota

Masonic Cancer Center

Contact Information

University Office Plaza, Ste 200
2221 University Ave SE
Minneapolis, MN 55414
Office: Rm 230
Email: ventz001 [at] umn [dot] edu

Full Curriculum Vitae

CV (last updated 11/2022)

Announcements & Recruitments

Post-doctoral position: My group is looking to recruit a post-doctoral fellow. 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

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 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 statistical computation, Bayesian decision theory, Bayesian analyses, meta-analysis, transfer learning, and causal inference. I've done work on information theory, statistical inference under adaptive sampling, causal inference and computational biology. Recent collaborative projects have involved applications in cardiovascular disease, strokes, and infectious diseases My recent projects focus on model-based clustering, data fusion, transfer learning, and causal inference.

Research Interests

  • Bayesian statistics and statistical decision theory

  • Statistical computing, Monte-Carlo optimization

  • Data integration and predictions

  • Panelized and shrinkage estimation

  • Causal inference

  • Sequential statistics

Academic Experience

Assistant Professor, Division of Biostatistics, University of Minnesota, 2022-
Research Scientist, Department of Biostatistics, Harvard University, 2018-2022
Assistant Professor, Department of Computer Science and Statistics, University of Rhode Island, 2015 - 2018
Research Fellow, Department of Biostatistics, Harvard University, 2013-2015