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.
Jonathan Wenger
Postdoctoral Researcher at Columbia University
New York, New York, United States
Overview
Topics They Care 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.
Biomedical Data
His publications and professional focus are centered on the analysis of large-scale, high-dimensional data within the biomedical and genetic fields.
Media Appearances
Jonathan has no verified media appearances
Work History
9-2023
Postdoctoral Researcher at Columbia University
9-2019 - 8-2023
PhD Student at University of Tuebingen
1-2022 - 8-2022
Visiting Scholar at Columbia University in the City of New York
12-2017 - 9-2018
Visiting Scholar at Broad Institute of MIT and Harvard
7-2015 - 12-2015
Software Development Intern at BMW Group
Education
Doctor of Science from University of Tübingen
2016 - 2019
Master of Science (M.Sc.) from Technical University of Munich
More Information
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Location : New York, New York, United States
Job Level : N/A
Designation : Postdoctoral Researcher at Columbia University
