Simon Olsson (Freie Universität Berlin, Germany) 

In this talk I will to motivate and outline some general problems and opportunities for machine learning in molecular and biomedical sciences. I will then give three different examples of how we have used three different branches of machine learning in the molecular sciences to target very different albeit all challenging problems[1,2,3]. Finally, I will discuss future directions and outstanding problems.

Biography:
Simon Olsson is a graduate of Biochemistry (MSc) and Bioinformatics (PhD) from the University of Copenhagen, Denmark. Olsson was awarded a prestigious independent postdoctoral research grant from the Danish Council for Independent Research to join ETH Zürich and IRB Bellinzona as a postdoctoral researcher. Since spring 2016 Olsson has been a Dahlem Research School Fellow and later a Fellow of the Alexander von Humboldt foundation at the Freie Universität Berlin, Germany.

Host: Prof. Rolf Krause (ICS), Dr. Andrea Cavalli (IRB)