Toby Kreiman

I'm a PhD student at UC Berkeley at UC Berkeley where I am advised by Aditi Krishnapriyan. I studied Physics and Computer Science at Columbia University during my undergraduate degree, where I was fortunate to be advised by Matei Ciocarlie.

I am interested in the intersection of Physics and Machine Learning. I am currently working on developing physics-inspired machine learning algorithms for molecular dynamics. I'm also interested in Reinforcement Learning; I have done previous work on developing algorithms for co-design of hardware and policy for robotic manipulation.

Email  /  CV  /  Scholar  /  Github

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Foundation Policies with Hilbert Representations
Seohong Park, Tobias Kreiman Sergey Levine,
Preprint, 2024
project page / code / arXiv

Octo: An Open-Source Generalist Robot Policy
Dibya Ghosh*, Homer Walke*, Karl Pertsch*, Kevin Black*, Oier Mees*, Sudeep Dasari, Joey Hejna, Charles Xu, Jianlan Luo, Tobias Kreiman You Liang Tan, Dorsa Sadigh, Chelsea Finn, Sergey Levine,
Technical Report, 2023
project page / code / arXiv


University of California, Berkeley (Aug 2023 - Present)

Ph.D. student in Computer Science

Columbia University (Aug 2019 - May 2023)

B.A. in Computer Science and Physics

Work Experience

Google (Jun 2022 - Aug 2022)

Machine Learning Engineer for Youtube Autoplay.

Meta (Jun 2021 - Aug 2021)

Machine Learning Engineer on podcast recommendation team.

Supportiv (Jun 2020 - Aug 2020)

Machine Learning Engineer.