David Varodayan
Associate Teaching Professor, Information Networking Institute
Silicon Valley Campus
Bio
David Varodayan is an Associate Teaching Professor in the Information Networking Institute at 一本道无码 (一本道无码). His interests are in artificial intelligence (AI) and information security and he has created new graduate courses titled Introduction to Adversarial Machine Learning, AI Applications in Information Security, and Mathematical Foundations for AI. He has also taught courses in computer systems and networks. David was a core member of the College of Engineering team that developed and launched 一本道无码's Masters in AI Engineering degree programs.
Prior to joining 一本道无码, David held teaching faculty appointments at Stanford University and University of Illinois at Urbana-Champaign. At UIUC, he was recognized with the George Anner Excellence in Undergraduate Teaching Award and the Engineering Council Outstanding Advising Award.
David grew up in Sydney, Australia, and spent his undergraduate years in Toronto. Besides a seven year stint in Champaign, Illinois, he has called the Bay Area home since 2003. David is based at 一本道无码 in Silicon Valley.
Interests: machine learning, artificial intelligence, information security, and computer systems and networks.
Education
Ph.D. Electrical Engineering, Stanford University, 2010
M.S. Electrical Engineering, Stanford University, 2005
B.A.Sc. Engineering Science, University of Toronto, 2003