Embedded Files
PhD student | Computer Science | Princeton
Hello! I'm a first-year PhD student at Princeton, where I have the privilege of being advised by Prof. Elad Hazan. I am grateful to be supported by the Gordon Wu Fellowship.
My research interests lie broadly in the theory of machine learning, and I am currently focusing on online control. During my Master’s studies, I had the pleasure of working with Prof. Daniel Soudry and collaborating with Prof. Nathan Srebro on theory of generalization in deep learning. During my undergraduate studies, I was fortunate to intern with Prof. Michal Irani at the Weizmann Institute, where we worked on memorization in deep learning.
I also help organize the ALG-ML seminar here at Princeton.
Besides research, I enjoy hiking, diving, and jazz music.
My email: first-name dot last-name at gmail dot com
Short Bio
Short Bio
2024 - 2029 | PhD in Computer Science | Princeton University
Studying Theoretical Machine Learning under the supervision of Prof. Elad Hazan.
2023 - 2024 | M.Sc. in Electrical and Computer Engineering | Technion
Studied theory for Deep Learning under the supervision of Prof. Daniel Soudry.
Focused on generalization bounds for neural networks, in the setting of random interpolation.
2020 - 2024 | B.Sc. in Computer Science and Physics | Technion
Studied Deep Learning under the supervision of Prof. Michal Irani.
Focused on memorization in neural networks, using training data reconstruction.
Research
Research
Preprints:
Brahmbhatt, Buzaglo, Druchyna and Hazan (authors listed alphabetically).
Master's Work:
Buzaglo*, Harel*, Shpigel-Nacson*, Brutzkus, Srebro and Soudry. ICML 2024
Undergraduate work:
Buzaglo*, Haim*,Yehudai, Vardi, Oz, Nikankin and Irani. NeurIPS 2023
Evron, Moroshko, Buzaglo, Khriesh, Marjieh, Srebro and Soudry. ICML 2023
Page updated
Google Sites
Report abuse