Scholar
Lydia Zakynthinou
Google Scholar ID: s1UQI6kAAAAJ
Postdoctoral Researcher, UC Berkeley
Citations & Impact
Citations
527
H-index
9
i10-index
9
Publications
15
Co-authors
19
list available
Publications
Resume (English only)
Academic Achievements
- - Published several papers, such as 'Covariance-Aware Private Mean Estimation Without Private Covariance Estimation' and 'From Robustness to Privacy and Back'
- - Received Meta Fellowship (cohort of 2020), Khoury PhD Research Award (2022), and Northeastern University Dissertation Fellowship (2023)
Research Experience
- - FODSI-Simons postdoctoral research fellow, UC Berkeley, hosted by Michael Jordan
- - Published papers and gave keynote talks at multiple international conferences
Education
- - PhD, Khoury College of Computer Sciences, Northeastern University, advised by Huy Lê Nguyễn and Jonathan Ullman (2023)
- - MSc in Logic, Algorithms, and Theory of Computation, University of Athens
- - Diploma in Electrical and Computer Engineering, National Technical University of Athens, advised by Dimitris Fotakis
Background
- Assistant professor in the Department of Computer Science at Johns Hopkins University. Research interests include differential privacy, machine learning theory, etc.
Miscellany
- - Participates in the Learning Theory Alliance initiative, holding weekly office hours
- - Gave a tutorial on differential privacy at the Australasian Summer School on Recent Trends in Algorithms
- - Taught an advanced session on differential privacy in the Berkeley Math Circle
