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
GaMPEN: A Machine-learning Framework for Estimating Bayesian Posteriors of Galaxy Morphological Parameters
– Astrophysical Journal
(2022)
935,
138
(doi: 10.3847/1538-4357/ac7f9e)
HIFlow: Generating Diverse HI Maps and Inferring Cosmology while Marginalizing over Astrophysics using Normalizing Flows
(2022)
(doi: 10.48550/arxiv.2110.02983)
Automated discovery of interpretable gravitational-wave population models
(2022)
(doi: 10.48550/arxiv.2207.12409)
GaMPEN: A Machine Learning Framework for Estimating Bayesian Posteriors of Galaxy Morphological Parameters
(2022)
(doi: 10.48550/arxiv.2207.05107)
Predicting the thermal Sunyaev–Zel’dovich field using modular and equivariant set-based neural networks
– Machine Learning Science and Technology
(2022)
3,
035002
(doi: 10.1088/2632-2153/ac78c2)
Stability Constrained Characterization of the 23 Myr Old V1298 Tau System: Do Young Planets Form in Mean Motion Resonance Chains?
– Astrophysical Journal Letters
(2022)
932,
l12
(doi: 10.3847/2041-8213/ac70e0)
Predicting the Thermal Sunyaev-Zel'dovich Field using Modular and Equivariant Set-Based Neural Networks
(2022)
(doi: 10.48550/arxiv.2203.00026)
Stability Constrained Characterization of the 23 Myr-old V1298 Tau System: Do Young Planets Form in Mean Motion Resonance Chains?
(2022)
(doi: 10.48550/arxiv.2203.02805)
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