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Home AstroAI Workshop 2025
AstroAI Workshop 2025

2025 Workshop

AstroAI Workshop 2025

Details Invited Speakers Abstracts Schedule Venue Code of Conduct

July 7–11, 2025

Five days of talks, tutorials, and collaboration

The complete program from the 2025 AstroAI Workshop, held at the Center for Astrophysics | Harvard & Smithsonian.

  • 5program days
  • 9:00daily start
  • 1Friday hackathon
Jump to Monday Tuesday Wednesday Thursday Friday

Complete agenda

Schedule at a glance

Session titles and speaker names link to their archived abstracts.

Scroll horizontally to see the full schedule on a small screen.

2025 AstroAI Workshop schedule, July 7 through July 11
TimeSessionLocation
Monday, July 7, 2025
9:00 am to 9:30 amWelcome and coffeePhillips Auditorium
9:30 am to 10:00 amOpening Remarks: Cecilia Garraffo (Director of AstroAI)Phillips Auditorium
10:00 am to 11:30 amKeynote Speaker: Bill Freeman (Massachusetts Institute of Technology)
Title: Exploiting the independence of the image from the sensor		Phillips Auditorium
11:30 am to 12:00 pmBreakPhillips Auditorium
12:00 pm to 1:00 pm Contributed Talks: Cosmology
Speaker 1: Ashod Khederlarian (Deep Learning Photometric Redshifts for Roman)
Speaker 2: Jack Grossman (A Diffusion-Based Machine Learning Model to Infer the Neutrino Effects from Large Scale Structure) 		Phillips Auditorium
1:00 pm to 2:00 pmLunchLobby/Atrium
2:00 pm to 2:30 pmSpotlight Speaker: Alan Hsu (Harvard University)
Title: Reconstructing Galaxy Cluster Mass Maps using Score-based Generative Modeling		Phillips Auditorium
2:30 pm to 3:30 pm Contributed Talks: Disks/Exoplanets
Speaker 1: Eddie Berman (Augmenting Spectra Emulation with Deep Evidential Regression for the Purposes of Biomarkers Retrieval)
Speaker 2: Sebastian Ratzenboeck (Learning with Gaps: A Domain-Adaptive SBI Framework for Mapping Young Stars from Incomplete, Multi-Survey Data)
Speaker 3: Sayed Shafaat Mahmud (Inferring Planet and Disk Parameters from Protoplanetary Disk Images Using a Variational Autoencoder) 		Phillips Auditorium
3:30 pm to 5:00 pmPoster Session
Poster 1: Lidiya Ahmed (Machine Learning for Faraday Cup Calibration and Optimization of Ion Parameter Estimation)
Poster 2: Srinadh Reddy Bhavanam (MargFormer: Photometric Classification of Stars, Quasars and Compact Galaxies with Cross-Attention Vision Transformer)
Poster 3: Antoine Bourdin (Diffusing Galaxies onto Dark Matter Fields over Multiple Cosmologies and Astrophysics)
Poster 4: Rocco Di Tella (Building Honest Agents Through Introspection: Probe-driven Generation of Confidence Scores)
Poster 5: Steven Dillmann (Representation Learning for X-ray Transients)
Poster 6: Rosa A Gonzalez (Using AI tools to determine the globular cluster system -- total galaxy stellar mass relation at z=0.4)
Poster 7: Hossein Hatamnia (AI-Driven Methods for Identifying Cosmic Web Environments)
Poster 8: Bradley Hutchinson (A Sequential Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys)
Poster 9: BAIMAM BOUKAR JEAN JACQUES (Explainable Deep-Learning Based Potentially Hazardous Asteroids Classification Using Graph Neural Networks)
Poster 10: Naysha Jain (Exospore: AI-Driven Detection of Microbial Life for Planetary Protection)
Poster 11: Rintaro Kanaki (Evaluation and Modeling of Spatial Selection Effects in Photometric Redshifts)
Poster 12: Fulya Kiroglu (When Stars Collide: Letting Neural Networks Pick Up the Pieces)
Poster 13: Christina X. Liu (Analyzing the Impacts of Stellar and Planetary Parameters to Exoplanet Habitability through Machine Learning)
Poster 14: Kiera McCormick (Evaluating Large Language Models in Astronomy Research)
Poster 15: Carolyn M Mill (Investigating Survey Systematics with Bayesian Statistics)
Poster 16: Lorenzo Monti (CLiMBing the Galactic Ladder: Unveiling Hidden Structures with Semi-supervised Clustering Algorithms)
Poster 17: Drew Oldag (Hyrax)
Poster 18: Andrea Persici (Blended Source Detection in Deep Fields: A Max-Tree Approach Informed by Survey and Simulated Data)
Poster 19: Fiona Redmen (Expediting Black Hole X-Ray Spectroscopy: Variational Auto-Encoders with Normalizing Flows)
Poster 20: Ashwini Nagaraj Shenoy (Solar Flare Forecasting using Machine learning/Deep learning techniques)
Poster 21: Abu Bucker Siddik (Degeneracy-Aware Pulsar Parameter Estimation from Light Curves via Deep Learning and Test-Time Optimization)
Poster 22: Adiba Amira Siddiqa (Using Deep Neural Networks to Detect Dark Star Candidates in the Early Universe)
Poster 23: Jared Sofair (Spectrophotometric Inference of Stellar and Binary Parameters)
Poster 24: Nicolò Pinciroli Vago (Learning compact representations from Chandra X-ray spectra)
Poster 25: Akash Vani (Machine learning-based emulator for large-volume semi-analytical galaxy formation models)
Poster 26: Jennifer Yee (LensNet: Enhancing Real-time Microlensing Event Discovery with Recurrent Neural Networks in the Korea Microlensing Telescope Network)
Poster 27: Dmitrii Zagorulia (Morphological Classification of Jets in Active Galactic Nuclei) 		Library
5:30 pm to 7:30 pmReception
Library
Tuesday, July 8, 2025
9:00 am to 9:30 amCoffeePhillips Auditorium
9:30 am to 11:00 amKeynote Speaker: David Alvarez-Melis (Harvard University)
Title: Data First: How Composition, Labels, and Adaptation Shape Model Behavio		Phillips Auditorium
11:00 am to 11:30 amBreakPhillips Auditorium
11:30 am to 12:30 pm Contributed Talks: Miscellaneous
Speaker 1: Yi Yang (AstroAgent: An Intelligent Assistant for Astronomical Research Based on MCP Protocol)
Speaker 2: Markus Michael Rau (Leveraging Approximate Models for Exact Inference: A Hybrid AI-MCMC Approach)
Speaker 3: Dimitrios Tanoglidis (Multimodality and Multimodal Models in Astrophysics) 		Phillips Auditorium
12:30 pm to 1:30 pmLunchLobby/Atrium
1:30 pm to 2:00 pmSpotlight Speaker: Nayantara Mudur (Harvard University)
Title: Probing Generative Models for Inference​ in Cosmology		Phillips Auditorium
2:00 pm to 3:00 pmDemofest (Seamless Astronomy)Library
3:00 pm to 3:30 pmHackathon PitchesLibrary
3:30 pm to 5:00 pmDiffusion Models Tutorial: Philipp Frank (Stanford University)
Title: Probabilistic Inference in Astrophysics: Variational, Flow-Based, and Diffusion Models		Phillips Auditorium
Wednesday, July 9, 2025
9:00 am to 9:30 amCoffeePhillips Auditorium
9:30 am to 11:00 amKeynote Speaker: Ashley Villar (Harvard University)
Title: The Trouble with Time Series		Phillips Auditorium
11:00 am to 11:30 amBreakPhillips Auditorium
11:30 am to 1:00 pmKeynote Speaker: Elisabeth Sylvan (Brown University, Rhode Island School of Design, Technical University of Munich)
Title: Responsible AI in Research		Phillips Auditorium
1:00 pm to 2:00 pmLunchLobby/Atrium
2:00 pm to 2:30 pmSpotlight Speaker: Kaylee De Soto (Harvard University)
Title: TBA		Phillips Auditorium
2:30 pm to 3:30 pm Contributed Talks: Galaxies/Cosmology
Speaker 1: Aryana Haghjoo (Super-Resolving Low-Resolution Galaxy Spectra with Diffusion Models)
Speaker 2: Luca Gomez Bachar (Evolution of linear matter perturbations with error-bounded bundle physics-informed neural networks)
Speaker 3: Martin Ying (Flowing Through Stellar Model Uncertainties: The Dartmouth Stellar Evolution Emulator) 		Phillips Auditorium
3:30 pm to 5:00 pmSBI Tutorial: Ashley Villar (Harvard University)
Title: Simulation-based Inference with Astrophysical Data		Phillips Auditorium
Thursday, July 10, 2025
9:00 am to 9:30 amCoffeePhillips Auditorium
9:30 am to 11:00 amKeynote Speaker: Viviana Acquaviva (CUNY NYC College of Technology, Columbia University)
Title: Interpretability tools in scientific Machine Learning		Phillips Auditorium
11:00 am to 11:30 amBreakPhillips Auditorium
11:30 am to 12:30 pm Contributed Talks: AGN & Lensing
Speaker 1: Ingrid Vanessa Daza Perilla (Neural Posterior Estimation for MYTorus Decoupled: Training on Observation-Driven Parameter Grids)
Speaker 2: Sogol Sanjaripour (Unsupervised Learning of Galaxy SED: AGN Identification and contamination correction)
Speaker 3: Nandini Sahu (Gravitational Lensing and the Need for AI-Accelerated Lens Modeling) 		Phillips Auditorium
12:30 pm to 1:30 pmLunchLobby/Atrium
1:30 pm to 2:00 pmSpotlight Speaker: Matthew O'Callaghan (University of Cambridge)
Title: Robust Simulation-Based Inference: Bridging the Gap Between Simulation and Observation.		Phillips Auditorium
2:00 pm to 3:00 pm Contributed Talks: Stellar
Speaker 1: Ilay Kamai (Key Stellar Parameter Predictions with Multi-Modal Neural Networks: Extending Deep Learning to Spectroscopy and Photometry)
Speaker 2: Paul Gregory (A Novel and Scalable Transformer-based Classifier to Automatically Process Millions of TESS Light Curves)
Speaker 3: Pablo Mercader Perez (Reconstructing Starspot Maps from Transits Using Deep Learning) 		Phillips Auditorium
3:00 pm to 5:00 pmInterpretability Tutorial: Core Park (Harvard University)
Title: Exploring Compositional Generalization of Neural Networks through Synthetic Experiments		Pratt
Friday, July 11, 2025
9:00 am to 9:30 amCoffeePhillips Auditorium
9:30 am to 11:00 amKeynote Speaker: Marc Huertas-Company (Instituto de Astrofísica de Canarias, University of Paris)
Title: Representation learning and simulation based inference for astrophysics (galaxy formation)		Phillips Auditorium
11:00 am to 11:30 amBreakPhillips Auditorium
11:30 am to 12:30 pm Contributed Talks: High Energy/Time Domain
Speaker 1: Ann-Kathrin Schuetz (From LEGEND to Binary Black Hole: A Rare Event Journey Across Physics)
Speaker 2: Srinadh Reddy Bhavanam (Deep Learning for Compton Image Reconstruction in Gamma-Ray Astrophysics)
Speaker 3: Ole Koenig (Modeling X-ray photon pile-up with machine learning: A data-driven perspective) 		Phillips Auditorium
12:30 pm to 1:30 pmLunchLobby/Atrium
1:30 pm to 2:00 pmSpotlight Speaker: Daniel Muthukrishna (MIT, AstroAI)
Title: Causally Motivated Foundation Models: Disentangling Physics from Systematics		Phillips Auditorium
2:00 pm to 5:00 pmHackathonLibrary/Fishbowl/Pratt/
Lobby/B-105/B-106

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Visual schedule for all five days of the 2025 AstroAI Workshop
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Speakers Abstracts

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