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Alex Marder is an Assistant Professor in the Department of Computer Science at Johns Hopkins University, where he is a member of the Data Science AI Institute and the Institute for Assured Autonomy. His research spans a wide array of networking domains, employing empirical analyses and machine learning techniques to assess and enhance security performance in both wired and wireless networks. Marder's current work leverages a deep understanding of network architecture and deployment design to secure 5G communication networks for the Department of Defense and to uncover security vulnerabilities in domestic internet access frameworks, shedding light on broadband inequity. He has been recognized for his contributions to the field, receiving the DARPA Young Faculty Award in 2025. Prior to his appointment at Johns Hopkins, he served as a research scientist at the Center for Applied Internet Data Analysis at the University of California, San Diego. Marder's academic credentials include a Bachelor of Science from Brandeis University and a PhD from the University of Pennsylvania.
Johns Hopkins University • Baltimore, MD
Teaching and conducting research in computer science, focusing on security and networked systems.
University of California, San Diego • San Diego, CA
Conducted research at the Center for Applied Internet Data Analysis.
Department of Pathology - PhD in Pathobiology. GRE is not required.