Jonathan Wenger
Postdoctoral Researcher at Columbia University
📍 New York, New York, United States
Jonathan Wenger is a Postdoctoral Research Scientist at Columbia University specializing in statistical genetics, causal inference, and machine learning. He holds a Doctor of Science from the University of Tübingen and focuses on developing innovative methods for analyzing large-scale biomedical data to uncover causal relationships.
His research aims to untangle cause and effect within complex genetic and biomedical datasets.
Read the full overview →Experience
6 Years
Current Role
Postdoctoral Researcher
Location
New York, New York, United States
Personality Overview
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Priorities
Topics Jonathan cares about
Statistical Genetics
His core research involves applying and developing statistical methods to understand the genetic basis of complex traits and diseases.
Causal Inference
A primary focus of his work is on methods to determine cause-and-effect relationships from observational data, particularly in biomedical contexts.
Career
Work history
9-2023
Postdoctoral Researcher
Columbia University
9-2019 - 8-2023
PhD Student
University of Tuebingen
1-2022 - 8-2022
Visiting Scholar
Columbia University in the City of New York
12-2017 - 9-2018
Visiting Scholar
Broad Institute of MIT and Harvard
7-2015 - 12-2015
Software Development Intern
BMW Group
In the press
Media appearances
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Education
Doctor of Science
University of Tübingen
2016 - 2019
Master of Science (M.Sc.)
Technical University of Munich
Social presence
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