Uwe Ohler studied Computer Science and Molecular Biology and combined these interests in his graduate work at the University of Erlangen-Nuremberg and UC Berkeley. He received his PhD in 2002 for a probabilistic model to predict transcriptional regulatory sequences in Drosophila. He has followed these interests in gene regulation and applied machine learning throughout his career, which took him from a postdoctoral position at MIT to assistant and associate professor appointments at Duke University. He has received fellowships from Boehringer Ingelheim and the Alfred P Sloan Foundation, as well as HFSP, NSF CAREER, and NIH Transformative Research awards. Since 2012, he has been a group leader at the Max Delbruck Center and a Professor in the Biology Department at Humboldt University in Berlin.
- Algorithmic Challenges in Genomics, Spring 2016. Visiting Scientist.