Department of Computer Science and Engineering
Chalmers | Gothenburg University
Chalmers D&IT 5481
Rännvägen 6 B
41258 Göteborg, Sweden
Phone: +46-76-608 69 63
Alexander Schliep received a MS in Mathematics while a Fulbright scholar at the University of Delaware working with Felix Lazebnik in extremal graph theory and a PhD degree in computer science from the Center for Applied Computer Science (ZAIK/ZPR) at the Universität zu Köln, Germany (2001; advisor Rainer Schrader), in collaboration with David C. Torney in the Theoretical Biology and Biophysics Group (T-10) at Los Alamos National Laboratory. From 2002-2009 he was the group leader of the Bioinformatics Algorithms Group in the Department for Computational Molecular Biology at the Max Planck Institute for Molecular Genetics in Berlin.
From 2009-2016 he was an associate professor Rutgers University with a joint position in theDepartment of Computer Science and the BioMaPS Institute for Quantitative Biology. In 2016 he joined the department for Computer Science and Engineering (CSE) which is jointly between Chalmers and Gothenburg University.
He is member of the WASP (Wallenberg AI, Autonomous Systems and Software Program) research collegium and serves as an associate editor for BMC Bioinformatics and http://peerj.com. Previously, he served as an associate editor for Discrete Mathematics, Algorithms and Applications.
Judd et al.. Cognitive and brain development is independently influenced by socioeconomic status and polygenic scores for educational attainment. Proceedings of the National Academy of Sciences 2020, 117:22, 12411–12418.
March 6, 2020. Compression and computation in Hidden Markov Models. Invited Talk at Department of Computer Science, University of Helsinki, Helsiniki, Finland
Nov. 29, 2018. Machine learning in biology and health. Invited Talk at Keynote at the 10th Swedish Meeting on Mathematics in Biology, KTH and Stockholm University, Stockholm, Sweden
Jan. 24, 2017. Statistical Bioinformatics at Genome-Scale. Invited Talk at SciLifeLab, Stockholm University, Stockholm, Sweden
Nov. 11, 2016. Compressive Omics: Data science for biomedical applications. Invited Talk at 4th Swedish Workshop on Data Science (SweDS 2016), Skövde, Sweden
Oct. 17, 2016. Statistical Bioinformatics for Genome-Scale Data. Invited Talk at Lifescience Area of Advance Seminar Series, Chalmers, Gothenburg, Sweden
Project or Software Lead