Adel Javanmard

Adel Javanmard is an assistant professor in the department of Data Sciences and Operation, Marshall School of Business at the University of Southern California. Prior to joining USC, he was a postdoctoral research fellow for a year at the Center for Science of Information, with worksite at UC Berkeley and Stanford University. He received his PhD and MS in Electrical Engineering from Stanford University in 2014 and 2010 advised by Andrea Montanari. Before that, he received BSc degrees in Electrical Engineering and Pure Math at Sharif University of Technology in 2009. His research interests are broadly in the area of high-dimensional statistics, machine learning, optimization, and graphical models. Adel has won several awards and fellowships, including the Zumberge Faculty Research and Innovation Fund (2017), Google Faculty Research Award (2016), the Thomas Cover dissertation award from IEEE Society (2015), the CSoI Postdoctoral Fellowship (2014), the Caroline and Fabian Pease Stanford Graduate Fellowship (2010-2012), and the Stanford Electrical Engineering Fellowship (2009). Adel was a finalist for the best student paper award at IEEE International Symposium on Information Theory (ISIT) in 2011 and 2012.

Here is my CV.