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Career

· Senior Machine Learning Scientist, Genesis Therapeutics2025–
· Research Scientist Intern, Meta2023–2023
· Research Scientist Intern, Meta2022–2022
· Machine Learning Intern, Apple2020–2020
· Doctor of Philosophy - PhD, Computer Science, New York University2020–2025
· Research Intern, Waymo2020–2020
· Software Engineer Intern, Google2019–2019
· Teaching Assistant, Stanford University2019–2019
· Master's degree, Computer Science, Stanford University2018–2020
· Data Scientist, Expanse Inc.2017–2018
· Data Science Intern, Qadium2017–2017
· Bachelor's degree, Computer Science, Stanford University2014–2018

Publications (14)

Large Language Models Are Zero-Shot Time Series Forecasters
2023
616
cited
Neural Information Processing Systems · 2023
185
cited
Neural Information Processing Systems · 2022
172
cited
Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
2024
107
cited
International Conference on Learning Representations · 2022
58
cited
Large Language Models Must Be Taught to Know What They Don't Know
2024
57
cited
International Conference on Learning Representations · 2022
49
cited
Calibration-Tuning: Teaching Large Language Models to Know What They Don’t Know
2024
24
cited
Effective Surrogate Models for Protein Design with Bayesian Optimization
2021
21
cited
Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion
2025
8
cited
Acoustic levitation of gels: A proof-of-concept for thromboelastography
2014
3
cited
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences
2025
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Nate Gruver | Researcher Profile | Sotabase | Sotabase