Vasilis Ntranos, PhD

Vasilis Ntranos obtained his PhD in Electrical Engineering from USC in 2015, working on network information theory problems and their applications in data storage and wireless communications. After his graduate studies, Ntranos moved his focus to computational biology and machine learning, completing his postdoctoral training in Electrical Engineering, Computer Science, and Biological Engineering at University of California Berkeley, Stanford, and Caltech. 

Vasilis joined UCSF in November 2019, where he is currently an Assistant Professor and heads the Department of Epidemiology & Biostatistics in the Diabetes Center. He is a member of the BMS, and BMI Graduate Programs and his lab is affiliated with the Dept. of Bioengineering and Therapeutic Sciences, the Bakar Computational Health Sciences Institute and HIVE (Health Innovation via Engineering). Vasilis’ main research interests are in computational methods development at the intersection of information theory, genomics, and machine learning, with a primary focus on single cell biology and alternative splicing.