Short bio: Professor Tagkopoulos’ interests span a variety of topics related to computer science, biology and engineering. His lab uses machine learning, optimization, HPC modeling and simulation to create knowledge from biological, medical and agricultural data. Experimental projects include adaptive laboratory experiments in microbial evolution, systems and synthetic biology. Projects are usually interdisciplinary, with computational predictions being validated experimentally and experiments being guided by computational techniques.
Professor Tagkopoulos is a faculty member of the department of Computer Science and UC Davis Genome Center. Prior to joining UC Davis he was a post-doctoral fellow in Princeton’s Lewis-Sigler Institute for Integrative Genomics and a relationship manager in Credit Suisse’s LOCuS fixed income derivatives group (DIT-SRA). He earned a Dipl.-Ing. in Electrical and Computer Engineering from University of Patras, a MSc in Microelectronics from Columbia University and a PhD in Electrical Engineering from Princeton University in 2001, 2003 and 2008 respectively.