My academic research focuses on analysis and methodology for data problems from various domains, in particular, in the field of bio-medicine, genetics, and natural sciences more generally. In particular, I study problems for change-point detection employing multiscale methods, blind source separation with certain finite alphabet constraints, and statistical methodology related to tree structures.

Scientific Career

Since Dec 2020	Scientific Expert at Bayer AG, Research & Development, Pharmaceuticals
July 2019 - November 2020	Postdoc, Research fellowship German Research Foundation (DFG), Department of Statistics, University of California, Berkeley
Aug 2018 - June 2019	Neyman Visiting Assistant Professor, Department of Statistics, University of California, Berkeley
Jan - Aug 2018	Postdoc, DFG - Research Training Group 2088, University of Goettingen
2014 - 2017	PhD student, Institute for Mathematical Stochastics, University of Goettingen
2009 - 2014	Studies of mathematics, University Goettingen and University of Edinburgh

In this YouTube video I give an overview of my PhD thesis for non-experts at the 3-Minute Thesis Competition, University of Goettingen: e-mail: mail[at]merlebehr(dot)org