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Vasilis Ntranos, PhD
Faculty

Vasilis Ntranos, PhD

Assistant Professor of Epidemiology & Biostatistics

Vasilis Ntranos obtained his PhD in Electrical Engineering from USC in 2015. After his graduate studies, Vasilis completed his postdoctoral training with Prof. Lior Pachter and Prof. David Tse in the Electrical Engineering & Computer Science Dept. at UC Berkeley (2015-2018), the Electrical Engineering Dept. at Stanford University (2015-2019), and the Biology and Biological Engineering Department at Caltech (2018-2019). Vasilis joined UCSF in November 2019, where he is currently an Assistant Professor in the Dept. of Epidemiology & Biostatistics, and the Diabetes Center. 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.

Research Overview:

Computational methods development at the intersection of information theory, genomics, and machine learning
Our research revolves around key algorithmic and statistical challenges that arise in computational biology, with a particular focus on variant effect prediction and single-cell genomics — and is highly collaborative, spanning multiple biological domains in immunology, human genetics, and cancer biology.

Computational health science interests: