I'm a 3rd-year CS PhD student at University of Southern California (USC) and a member of the Signal Analysis and Interpretation Lab (SAIL), where I am advised by Professor Shrikanth Narayanan. I'm also affiliated with the USC Theory Group, where I spent my first two years. Before joining USC, I completed my undergraduate studies in Electrical and Computer Engineering at the National Technical University of Athens. During my studies in Greece, I was advised by Dimitris Fotakis. I was also affiliated with Archimedes AI, where I interned in the Spring of 2024.
My research lies in the intersection of theoretical and applied machine learning, with a focus on Trustworthy ML

• [July 2026] — Our paper Can We Enable Speech Data With Differential Privacy? was accepted to the Re-Data Workshop at COLM 2026.
• [May 2026] — Our paper Dynamic Consistent Proportionally Fair Clustering was accepted at EC 2026.
• [Nov 2025] — Received the Gerondelis Foundation Scholarship for my PhD studies.
• [July 2025] — Attended ICML 2025 and presented Computing Voting Rules with Improvement Feedback.
• [May 2025] — Our paper Computing Voting Rules with Improvement Feedback was accepted at ICML 2025.
• [Sep 2024] — Started my PhD in Computer Science at USC and received the Viterbi Graduate Fellowship.

(3) Can We Enable Speech Data With Differential Privacy? [Paper]
Efthymios Tsaprazlis^*, Vasilis Varsamis^*, Tiantian Feng, Sai Praneeth Karimireddy and Shrikanth Narayanan (Re-Data Workshop @ COLM 2026)

(2) Dynamic Consistent Proportionally Fair Clustering [Paper]
Evi Micha, Satish Panda and Vasilis Varsamis (EC 2026)^αβ

(1) Computing Voting Rules with Improvement Feedback [Paper]
Evi Micha and Vasilis Varsamis (ICML 2025)^αβ

At USC, I have served as a teaching assistant for the following courses:

• CSCI570: Analysis of Algorithms
• CSCI570: Analysis of Algorithms
• CSCI360: Artificial Intelligence: Principles and Foundations

Outside of research, I enjoy hiking, reading, and playing the classical guitar.