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PhD student | Computer Science | Princeton University
I'm a second-year PhD student at Princeton, where I have the privilege of being advised by Prof. Elad Hazan and supported by the Gordon Wu Fellowship.
I am interested in learning theory and mathematical optimization.
Before my PhD, I had the pleasure of completing my master’s with Prof. Daniel Soudry, collaborating with Prof. Nathan Srebro, and interning with Prof. Michal Irani as an undergraduate.
email: gon dot buzaglo at gmail dot com
Research
Research
Preprints
Buzaglo, Golowich and Hazan. Presented in ESIF-AIML 2026.
Publications:
Convergence of Continual Learning in Homogeneous Deep Networks
Schilserman, Buzaglo, Evron, Soudry. COLT 2026.
Brahmbhatt, Buzaglo, Druchyna and Hazan (authors listed alphabetically). ICLR 2026.
Brahmbhatt, Buzaglo, Druchyna and Hazan (authors listed alphabetically). NeurIPS 2025.
Buzaglo*, Harel*, Shpigel-Nacson*, Brutzkus, Srebro and Soudry. ICML 2024 (spotlight).
Buzaglo*, Haim*, Yehudai, Vardi, Oz, Nikankin and Irani. NeurIPS 2023.
Evron, Moroshko, Buzaglo, Khriesh, Marjieh, Srebro and Soudry. ICML 2023.
Teaching
Teaching
Instructor: Prof. Elad Hazan
Instructor: Prof. Sanjeev Arora
Service
Service
Co-organizer: IMSI Workshop on New Directions in Reinforcement Learning and Control
Reviewer: ICLR 2026, NeurIPS 2026
Short Bio
Short Bio
2024 - 2029 | PhD in Computer Science | Princeton University
2023 - 2024 | M.Sc. in Electrical and Computer Engineering | Technion
2020 - 2024 | B.Sc. in Computer Science and Physics | Technion
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