International Conference on Algorithmic Learning Theory · 2024
Cited
1
Resume (English only)
Academic Achievements
Published multiple papers in areas such as learning theory, mechanism design, and language generation, with some appearing in top conferences like NeurIPS, ICML, and STOC.
Research Experience
Summer 2023: Research Intern at Google Research, hosted by Andres Perlroth and Gagan Aggarwal; October 2023 to May 2024: Student Researcher at Google Research, hosted by Yuan Deng; Summer 2024: Research Intern at Google Research in New York, hosted by William Kong.
Education
PhD in Computer Science from Yale University, advised by Amin Karbasi; Undergraduate studies at NTUA, majoring in computer science and electrical engineering, advised by Dimitris Fotakis.
Background
Research interests include learning theory and mechanism design. Currently a Research Scientist at Google Research.