Assistant Professor in Data Intensive Science in DAMTP and the IoA, working on AI for scientific discovery.
Research: Google Scholar
Group page: astroautomata.com
[quanta magazine]
Publications
Symbolic Regression on FPGAs for Fast Machine Learning Inference
(2024)
(doi: 10.48550/arxiv.2305.04099)
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning.
– NeurIPS
(2024)
(doi: 10.17863/CAM.113689)
TheWell: a Large-Scale Collection of Diverse Physics Simulations forMachine Learning
– ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 37 (NEURIPS 2024)
(2024)
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
– Advances in Neural Information Processing Systems
(2024)
abs/2412.00568,
Symbolic Regression with a Learned Concept Library
– Advances in Neural Information Processing Systems
(2024)
37,
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data
– ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 37 (NEURIPS 2024)
(2024)
37,
Multiple Physics Pretraining for Spatiotemporal Surrogate Models
– Advances in Neural Information Processing Systems
(2024)
37,
119301
(doi: 10.52202/079017-3791)
Workshop Summary: Exoplanet Orbits and Dynamics
– Publications of the Astronomical Society of the Pacific
(2023)
135,
106001
(doi: 10.1088/1538-3873/acff88)
Reusability report: Prostate cancer stratification with diverse biologically-informed neural architectures
(2023)
(doi: 10.48550/arxiv.2309.16645)
Rediscovering orbital mechanics with machine learning
– Machine Learning: Science and Technology
(2023)
4,
045002
(doi: 10.1088/2632-2153/acfa63)
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