Daniel Votipka

Dr. Daniel Votipka is the Lin Family Assistant Professor in the Department of Computer Science at Tufts University School of Engineering. His research focuses on computer security, particularly the human factors influencing security professionals, including vulnerability discovery, network defense, and malware analysis. He directs the Tufts Security and Privacy Lab (TSP) and explores how to leverage human intelligence and automation in cybersecurity through education, policy, and tool design.

Education: PhD in Computer Science (University of Maryland, 2020), MS in Information Security (Carnegie Mellon, 2012), BS in Computer Science (Illinois Institute of Technology, 2010).

His research interests include secure development, threat modeling, reverse engineering, and the human aspects of cybersecurity. Recent work examines AI integration in software development, social media verification policies, and medical device threat modeling. He advises numerous PhD students and collaborates with labs such as the Tufts Cybersecurity Center and the Human-Computer Interaction Lab.

Key contributions include studies on binary exploitation education, open-source threat modeling, and bug bounty program dynamics. His work bridges technical cybersecurity challenges with human-centric solutions, emphasizing practical applications and community impact.