Professor Dan Geiger is the Feldman Chair of Computer Science at the Technion, and he has been serving as Dean of the Faculty since January 2018. Dan received a B.A. degree in Mathematics (Cum Laude) and B.Sc. in Computer Engineering (Cum Laude), both from the Technion – Israel Institute of Technology, in 1985. He received an M.Sc. degree in Computer Science in 1988, followed by a Ph.D. in 1990, from UCLA, under the supervision of Artificial Intelligence pioneer Judea Pearl. He joined the Technion’s Faculty of Computer Science in 1991, and is a full professor since 2006. Dan’s research is mainly focused on the study of probabilistic models for intelligent systems, in particular, the study of Bayesian networks and their applications in Bioinformatics and in other domains. He has focused his attention on several aspects of probabilistic models called Bayesian networks, including, (1) Foundation – which independence assumptions are encoded in a Bayesian network, (2) Exact Inference – how to efficiently answer queries using a Bayesian network, (3) Learning – how to learn Bayesian networks from data, and (4) Applications – building effective intelligent systems based on Bayesian networks. Currently, he is mostly interested in using probabilistic models effectively for mapping disease genes and for other Bioinformatics tasks. Amongst his many academic contributions throughout the years, Dan led the creation of the Bioinformatics study track, in collaboration with the Technion’s Faculty of Biology. He has also served as head of the curriculum committee and Vice Dean for Teaching.
Faculty:Computer Science
