Learning and Transferring Cellular State in Single Cell Atlases

Hosted by the School of Medicine at Cardiff University

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Prof. Theis is head of the Institute of Computational Biology at Helmholtz Munich and full professor at the Technical University of Munich. Since 2018 he is coordinator of the Munich School for Data Science and since 2019 director of the Helmholtz Artificial Intelligence Cooperation Unit (HelmholtzAI). Fabian Theis uses artificial intelligence to uncover the secrets of human cells. How do they interact and what's going wrong at the cellular level when someone falls ill? By using single-cell sequencing data, he and his team are able to model the variety of cells and their activities. Machine learning and deep learning are also used to help make predictions in biology and biomedicine.
He holds two Master's Degrees in Mathematics and Physics, as well as two Doctorates in Physics and Computer Science. Fabian’s career began as head of the research group “Signal Processing and Information Theory” at the Institute for Biophysics in Regensburg. As a Bernstein Fellow, he led a junior researcher group at the Bernstein Center for Computational Neuroscience at the Max Planck Institute for Dynamics and Self-Organization in Göttingen in 2006. One year later he became head of a task force at the Institute for Bioinformatics at Helmholtz Munich, and then after two years he was appointed Extracurricular Professor for Mathematics in System Biology at the Technical University of MunichHe then then served as a guest scientist at various international institutes, such as the Department of Architecture and Computer Technology of the University of Granada, Spain; the RIKEN Brain Science Institute in Wako, Japan; FAMU/FSU in Florida, USA; and TUAT’s Laboratory for Signal and Image Processing in Tokyo, Japan.

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