Prof. Dr. Uwe Ohler
Prof. Dr. Uwe Ohler
Fellow
Fellow | BIFOLD
Speaker | DFG IRTG with Duke University
Coordinator | Cross-cutting focus area “Data Sciences @ MDC”
Co-Director | Helmholtz Einstein International Berlin Research School in Data Science, HEIBRiDS
Adjunct Faculty | Department of Bioinformatics & Biostatistics, Duke University
Professor (W3) of Systems Biology of Gene Regulation | Humboldt-Universität zu Berlin
Senior Group Leader | Max Delbrueck Center for Molecular Medicine
| 2012 – 2017 | NIH • transformative research award |
| 2010 – 2013 | NSF • CAREER award |
| 2008 – 2015 | Human Frontiers in Science • Young Investigator Award (renewed) |
| 2005 – 2007 | Alfred P Sloan Fellow • Computational Molecular Biology |
| 1998 – 2001 | Boehringer Ingelheim • PhD fellowship |
- Applied machine learning
- Bioinformatics
- Computational genomics
- Gene regulation
- Gesellschaft für Informatik e.V.
- International Society for Computational Biology
- Deutscher Hochschulverband
Wolfgang Kopp, Altuna Akalin, Uwe Ohler
Simultaneous dimensionality reduction and integration for single-cell ATAC-seq data using deep learning
Philipp Drewe-Boss, Dirk Enders, Jochen Walker, Uwe Ohler
Deep learning for prediction of population health costs
An overview of the current state of research in BIFOLD
Since the official announcement of the Berlin Institute for the Foundations of Learning and Data in January 2020, BIFOLD researchers achieved a wide array of advancements in the domains of Machine Learning and Big Data Management as well as in a variety of application areas by developing new Systems and creating impactfull publications. The following summary provides an overview of recent research activities and successes.