After studying Mathematics and Biology at the University of Vienna, Günter Klambauer started his research in bioinformatics and machine learning in 2009 at the Johannes Kepler University Linz, where he earned his PhD in 2014. His machine learning methods for genetics were awarded with the Austrian Life Science Award 2012 and the Award of Excellence of the Austrian Ministry of Science in 2014. In the past five years, he has led several data analysis groups in large projects with pharma industry.
While Dr. Klambauer’s research has mainly been concerned with bioinformatics in earlier years, his research focus recently shifted to chemoinformatics and Deep Learning. This has led to the development of the best performing methods at the 2013 DREAM Toxicogenetics challenge and the win at the Tox21 Data Challenge 2015. His current research is focused around building general AIs for drug discovery.
Günter Klambauer is currently group leader of the "AI and Drug Discovery" group of the LIT AI Lab at the Johannes Kepler University Linz.