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