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
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
– The Astrophysical Journal
(2022)
941,
7
(doi: 10.3847/1538-4357/ac9b18)
Charting Galactic Accelerations with Stellar Streams and Machine Learning
– The Astrophysical Journal
(2022)
940,
22
(doi: 10.3847/1538-4357/ac93ee)
Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks
(2022)
(doi: 10.48550/arxiv.2211.07807)
A Neural Network Subgrid Model of the Early Stages of Planet Formation
(2022)
(doi: 10.48550/arxiv.2211.04160)
$\texttt{Mangrove}$: Learning Galaxy Properties from Merger Trees
(2022)
(doi: 10.48550/arxiv.2210.13473)
HIFlow: Generating Diverse Hi Maps and Inferring Cosmology while Marginalizing over Astrophysics Using Normalizing Flows
– Astrophysical Journal
(2022)
937,
83
(doi: 10.3847/1538-4357/ac8b09)
GaMPEN: A Machine-learning Framework for Estimating Bayesian Posteriors of Galaxy Morphological Parameters
– The 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)
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