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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

AION-1: Omnimodal Foundation Model for Astronomical Sciences
L Parker, F Lanusse, J Shen, O Liu, T Hehir, L Sarra, L Meyer, M Bowles, S Wagner-Carena, H Qu, S Golkar, A Bietti, H Bourfoune, N Casserau, P Cornette, K Hirashima, G Krawezik, R Ohana, N Lourie, M McCabe, R Morel, P Mukhopadhyay, M Pettee, BR-S Blancard, K Cho, M Cranmer, S Ho
(2025)
Call for Action: towards the next generation of symbolic regression benchmark
GSI Aldeia, H Zhang, G Bomarito, M Cranmer, A Fonseca, B Burlacu, WG La Cava, FO de França
– Proceedings of the Genetic and Evolutionary Computation Conference Companion
(2025)
2529
Open Source Planning & Control System with Language Agents for Autonomous Scientific Discovery
L Xu, M Sarkar, AI Lonappan, Í Zubeldia, P Villanueva-Domingo, S Casas, C Fidler, C Amancharla, U Tiwari, A Bayer, CA Ekioui, M Cranmer, A Dimitrov, J Fergusson, K Gandhi, S Krippendorf, A Laverick, J Lesgourgues, A Lewis, T Meier, B Sherwin, K Surrao, F Villaescusa-Navarro, C Wang, X Xu, B Bolliet
(2025)
SymbolFit: Automatic Parametric Modeling with Symbolic Regression
HF Tsoi, D Rankin, C Caillol, M Cranmer, S Dasu, J Duarte, P Harris, E Lipeles, V Loncar
– Computing and Software for Big Science
(2025)
9,
12
SymbolFit: Automatic Parametric Modeling with Symbolic Regression
HF Tsoi, D Rankin, C Caillol, M Cranmer, S Dasu, J Duarte, P Harris, E Lipeles, V Loncar
(2025)
Call for Action: towards the next generation of symbolic regression benchmark
GSI Aldeia, H Zhang, G Bomarito, M Cranmer, A Fonseca, B Burlacu, WG La Cava, FO de França
(2025)
The ones that got away: chemical tagging of globular cluster-origin stars with Gaia BP/RP spectra
SG Kane, V Belokurov, M Cranmer, S Monty, H Zhang, A Ardern-Arentsen, E Kane
(2025)
Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms
P Wyder, J Goldfeder, A Yermakov, Y Zhao, S Riva, J Williams, D Zoro, A Rude, M Tomasetto, J Germany, J Bakarji, G Maierhofer, M Cranmer, N Kutz
– Advances in Neural Information Processing Systems 38
(2025)
38,
188884
AION-1: Omnimodal Foundation Model for Astronomical Sciences
L Parker, F Lanusse, J Shen, O Liu, T Hehir, L Sarra, L Meyer, M Bowles, S Wagner-Carena, H Qu, S Golkar, A Bietti, H Bourfoune, P Cornette, K Hirashima, G Krawezik, R Ohana, N Lourie, M McCabe, R Morel, P Mukhopadhyay, M Pettee, K Cho, M Cranmer, S Ho
– Advances in Neural Information Processing Systems 38
(2025)
38,
105685
Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme
R Morel, F Ramunno, J Shen, A Bietti, K Cho, M Cranmer, S Golkar, O GUGNIN, G Krawezik, T Marwah, M McCabe, L Meyer, P Mukhopadhyay, R Ohana, L Parker, H Qu, F Rozet, KD Leka, F Lanusse, D Fouhey, S Ho
– Advances in Neural Information Processing Systems 38
(2025)
38,
74387
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Research Group

Relativity and Gravitation

Room

B2.17