Grant’s research studies computer security, with a particular interest in problems at the intersection of data and security. His recent work focuses on improving the security of enterprises, which includes developing new algorithms and systems to thwart attacks (e.g., phishing, ransomware, and data breaches), and conducting large-scale analyses to better understand emerging threats as well as the costs and burdens of deploying security measures.

Grant is currently a CSE Postdoctoral Fellow at UC San Diego and a Visiting Researcher at Corelight. Previously, he received his PhD in computer science from UC Berkeley and his bachelor’s degree in computer science from Stanford University. His research has received three distinguished paper awards across the top security conferences, an NSF Graduate Research Fellowship, a Facebook PhD Fellowship, and the 2017 Internet Defense Prize.

Focus Areas: Security and Privacy, Machine Learning for Security, Data Science, Systems and Networking, Large-scale Measurement


AI & Machine Learning

Foundations and applications of computer algorithms making data-centric models, predictions, and decisions

Security & Privacy

Understanding and defending against emerging threats in our increasingly computational world

Systems, Architecture & Networking

Design and analysis of computing systems: cloud, edge, Internet, quantum, and beyond
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