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
The SZ flux-mass (Y-M) relation at low-halo masses: improvements with symbolic regression and strong constraints on baryonic feedback
– Monthly Notices of the Royal Astronomical Society
(2023)
522,
2628
(doi: 10.1093/mnras/stad1128)
Charting Galactic Accelerations with Stellar Streams and Machine Learning
(2023)
(doi: 10.48550/arxiv.2205.11767)
Augmenting astrophysical scaling relations with machine learning: application to reducing the Sunyaev-Zeldovich flux-mass scatter
(2023)
(doi: 10.48550/arxiv.2201.01305)
Augmenting astrophysical scaling relations with machine learning: Application to reducing the Sunyaev-Zeldovich flux-mass scatter.
– Proc Natl Acad Sci U S A
(2023)
120,
e2202074120
(doi: 10.1073/pnas.2202074120)
Robust Simulation-Based Inference in Cosmology with Bayesian Neural Networks
(2023)
(doi: 10.48550/arxiv.2207.08435)
Robust simulation-based inference in cosmology with Bayesian neural networks
– Machine Learning: Science and Technology
(2023)
4,
01LT01
(doi: 10.1088/2632-2153/acbb53)
Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study
(2022)
(doi: 10.48550/arxiv.2211.09008)
Mangrove: Learning Galaxy Properties from Merger Trees
– Astrophysical Journal
(2022)
941,
7
(doi: 10.3847/1538-4357/ac9b18)
Charting Galactic Accelerations with Stellar Streams and Machine Learning
– Astrophysical Journal
(2022)
940,
22
(doi: 10.3847/1538-4357/ac93ee)
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