About

Günter Klambauer is associate professor for “Artificial Intelligence in Life Sciences” at the LIT AI Lab and the Institute for Machine Learning of the Johannes Kepler University Linz.

After studying mathematics and biology at the University of Vienna, Günter Klambauer started his research in the field of machine learning and bioinformatics in 2010 at the Johannes Kepler University Linz, where he received his doctorate in 2014. For the application of machine learning techniques in genetics and molecular biology he was awarded the Austrian Life Science Award 2012 and the Award of Excellence of the Austrian Ministry of Science in 2014. Over the past years, he has led several data analysis groups in large projects with several pharmaceutical companies. In an international scientific competition, the Tox21 Data Challenge, Günter Klambauer and his group developed the best computational method for predicting the toxicity of chemicals. He is known for the development of “self-normalizing neural networks”. His current research focuses on the development of Deep Learning and AI methods for use in Life Sciences.