Generated by GPT-5-mini| Nick Feamster | |
|---|---|
| Name | Nick Feamster |
| Nationality | American |
| Fields | Computer networking, cybersecurity, Internet measurement, privacy |
| Workplaces | University of Chicago; Princeton University; AT&T Labs; University of Michigan |
| Alma mater | University of Michigan; University of Cambridge |
| Known for | Internet measurement; network security; policy-relevant research |
Nick Feamster is an American computer scientist known for work in Internet measurement, network security, privacy, and the intersection of networking and public policy. He has held academic appointments at leading research universities and has collaborated with industry laboratories and policy organizations to translate technical findings into operational and policy recommendations. His work spans empirical measurement, systems design, machine learning for networking, and engagement with regulatory and standards bodies.
Feamster completed undergraduate and graduate studies with a focus on computer science and networking at institutions including the University of Michigan and the University of Cambridge. During his doctoral training and postdoctoral work, he collaborated with researchers at organizations such as MIT CSAIL, Bell Labs, and IETF-aligned research groups. His formative mentors and collaborators included faculty associated with Princeton University, Carnegie Mellon University, and researchers from AT&T Labs and Google Research who shaped his interests in Internet measurement and security.
Feamster has held faculty positions and research appointments at universities and research labs including the University of Chicago, Princeton University, and industrial research groups like AT&T Labs Research. He has participated in interdisciplinary centers connecting computing with policy and law, working alongside scholars from Harvard Kennedy School, Stanford Law School, and the Berkman Klein Center to address governance of the global Internet. His collaborations extend to researchers at Microsoft Research, Facebook AI Research, and national laboratories such as Los Alamos National Laboratory and Lawrence Berkeley National Laboratory on measurement platforms and security tools.
Feamster’s research contributions include large-scale Internet measurement studies, development of tools for traffic analysis, and systems for detecting censorship and misconfigurations across networks. His empirical studies have informed debates involving entities like the Federal Communications Commission, European Commission, and standards bodies such as the IETF and IEEE. He co-developed methods that intersect with machine learning techniques from groups at Google DeepMind and statistical frameworks associated with researchers at Carnegie Mellon University and Columbia University to improve anomaly detection and routing diagnosis. His work on censorship measurement and transparency has engaged civil society organizations including Electronic Frontier Foundation, ACLU, and international NGOs addressing digital rights. Several deployments and datasets from his labs have been used by operators at Cloudflare, Akamai Technologies, and major Internet service providers to diagnose outages, routing anomalies, and security incidents.
As a professor and advisor, Feamster has supervised graduate students and postdoctoral researchers who went on to positions at institutions such as Google Research, Facebook, Microsoft Research, Oracle, and universities including University of California, Berkeley and Massachusetts Institute of Technology. His teaching portfolio includes courses on networking, security, and privacy that draw on case studies related to incidents involving Dyn (company), Stuxnet, and high-profile outages studied by NIST and industry consortia. He has served on doctoral committees and thesis defenses in departments at Princeton University, University of Michigan, and University of Chicago, contributing to curriculum development and interdisciplinary programs connecting computer science with public policy at centers like the Center for Information Technology Policy.
Beyond academia, Feamster has worked with industry partners and government stakeholders to translate research into practice, collaborating with entities such as AT&T, Verizon Communications, and cloud providers like Amazon Web Services on measurement tooling and best practices. He has provided expert testimony and briefings to policymakers at the United States Congress and regulatory agencies including the Federal Communications Commission and has engaged with international organizations like the Organisation for Economic Co-operation and Development and the World Bank on digital infrastructure and resilience. Feamster has participated in standards and advisory activities with the IETF, ISOC, and the Internet Research Task Force.
Feamster’s recognitions include best-paper and test-of-time awards at premier conferences such as ACM SIGCOMM, USENIX Security Symposium, and NDSS. He has received research awards and fellowships associated with institutions like the National Science Foundation, Google Faculty Research Awards, and honors from societies including ACM and IEEE for contributions to networking and security research. His datasets and tools have been cited in technical reports from ITU and policy analyses by groups such as RAND Corporation and the Brookings Institution.
Category:Computer scientists Category:Network researchers