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Career

· Research Scientist, Google DeepMind2023–
· Research Scientist, Google Brain2022–2023
· Research Intern, Google Brain2021–2022
· PhD in Computer Science, Columbia University2017–2022
· M.S.E. in Computer Science, Princeton University2016–2017
· A.B. in Mathematics, Princeton University2012–2016

Publications (38)

arXiv.org · 2023
1,428
cited
arXiv.org · 2025
882
cited
International Conference on Language Resources and Evaluation · 2017
278
cited
A Compressed Sensing View of Unsupervised Text Embeddings, Bag-of-n-Grams, and LSTMs
International Conference on Learning Representations · 2018
44
cited
International Conference on Machine Learning · 2021
39
cited
Robotics: Science and Systems · 2019
25
cited
Neural Information Processing Systems · 2023
21
cited
Attribute-efficient learning of monomials over highly-correlated variables
International Conference on Algorithmic Learning Theory · 2019
5
cited
4
cited
Estimating Trending Topics on Twitter with Small Subsets of the Total Data
2015
3
cited
FINALE : Finance Domain Instruction-Tuning Dataset with High-Quality Rationales via Chain-of-Thought Prompting
3
cited
Mapping Between Natural Movie fMRI Responses and Word-Sequence Representations
arXiv.org · 2016
3
cited
Algorithms for Efficiently Learning Low-Rank Neural Networks
arXiv.org · 2022
2
cited
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