Dr. Elena Vasquez
Associate Professor of Computer Science, Department of Computer Science
[email protected] (650) 555-0193 Stanford, CA evasquez.cs.stanford.edu ORCID: 0000-0002-4837-1092
Education
Ph.D.
Computer Science
Massachusetts Institute of Technology
2015
Dissertation: Scalable Approaches to Federated Learning
M.S.
Computer Science
UC Berkeley
2011
Focus: Machine Learning & Distributed Systems
B.S.
Mathematics & Computer Science
University of Michigan
2009
Summa Cum Laude
Publications
FedScale: Benchmarking Model Scaling in Federated Learning. Vasquez, E., Kim, J., & Patel, R.. NeurIPS 2025, 2025.
Privacy-Preserving Aggregation for Large Language Models. Vasquez, E., & Torres, M.. ICML 2024, 2024.
Communication-Efficient Federated Learning at Scale. Vasquez, E., Chen, W., & Liu, S.. JMLR, 24(1), 2023.
Teaching Experience
Research Interests
Conferences
Keynote: The Future of Federated AI
ACM FAccT 2025, 2025
Workshop: Scalable Privacy in Distributed Systems
IEEE S&P 2024, 2024
Awards & Grants
NSF CAREER Award 2022
ACM Distinguished Paper Award 2021
References
Dr. James Harrison
Professor of Computer Science, MIT
Dr. Priya Sharma
Research Director, Google DeepMind