Frank Emmert-Streib is heading the Predictive Medicine and Data Analytics Lab. He is an Associate Professor in Data Science at the Tampere University of Technology.
The goal of the group is to conduct inovative and creative research in the interdisciplinary field of data science to address questions of societal relevance. The group is particularly interested in data from medicine, finance, social media and the social sciences. Our methodological approach is based on computational and statistical methods in combination with network-based models.
Frank Emmert-Streib is a tenured Associate Professor in Data Science at the Tampere University of Technology. In addition, he is affiliatd with the Institute of Biosciences and Medical Technology (BioMediTech). Before he came to Tampere he was a Senior Lecturer (Associate Professor) at the Queen’s University Belfast at the Center for Cancer Research and Cell Biology. He received training as a Senior Fellow from the Department of Biostatistics and the Department of Genome Sciences at the University of Washington in Seattle (USA) working with John Storey (now Princeton University) and as Postdoctoral Research Associate in the Department of Computational Biology at the Stowers Institute for Medical Research in Kansas City (USA) working with Arcady Mushegian. He studied Physics and Mathematics and obtained his Ph.D. in Theoretical Physics from the University of Bremen (Germany) and a Diploma (with distinction) as well as a Bachelor in Theoretical Physics from the University of Siegen (Germany).
In fall 2011 he spent a sabbatical leave at the Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Harvard School of Public Health in Boston (USA) working with John Quackenbush and the Statistics and Computational Biology Laboratory, CRUK Cambridge Research Institute, University of Cambridge in Cambridge (UK) working with Simon Tavare.
Activities as associate editor for scientific journals:
We are fortunate having a number of excellent national and international collaborators that allow us to complement our expertise with additional knowledge as necessary for addressing interdisciplinary problems.