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AstroAI Workshop 2025
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AstroAI Workshop 2025
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Schedule:
Monday, July 7th, 2025
9:00 am to 9:30 am
Welcome and coffee
Phillips Auditorium
9:30 am to 10:00 am
Opening Remarks: Cecilia Garraffo (Director of AstroAI)
Phillips Auditorium
10:00 am to 11:30 am
Keynote 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 pm
Break
Phillips 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 pm
Lunch
Lobby/Atrium
2:00 pm to 2:30 pm
Spotlight 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 pm
Poster 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 pm
Reception
Library
Tuesday, July 8th, 2025
9:00 am to 9:30 am
Coffee
Phillips Auditorium
9:30 am to 11:00 am
Keynote 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 am
Break
Phillips 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 pm
Lunch
Lobby/Atrium
1:30 pm to 2:00 pm
Spotlight Speaker:
Nayantara Mudur (Harvard University)
Title:
Probing Generative Models for Inference in Cosmology
Phillips Auditorium
2:00 pm to 3:00 pm
Demofest (Seamless Astronomy)
Library
3:00 pm to 3:30 pm
Hackathon Pitches
Library
3:30 pm to 5:00 pm
Diffusion Models Tutorial:
Philipp Frank (Stanford University)
Title:
Probabilistic Inference in Astrophysics: Variational, Flow-Based, and Diffusion Models
Phillips Auditorium
Wednesday, July 9th, 2025
9:00 am to 9:30 am
Coffee
Phillips Auditorium
9:30 am to 11:00 am
Keynote Speaker:
Ashley Villar (Harvard University)
Title:
TBA
Phillips Auditorium
11:00 am to 11:30 am
Break
Phillips Auditorium
11:30 am to 1:00 pm
Keynote 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 pm
Lunch
Lobby/Atrium
2:00 pm to 2:30 pm
Spotlight 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 pm
SBI Tutorial:
Ashley Villar (Harvard University)
Title:
TBA
Phillips Auditorium
Thursday, July 10th, 2025
9:00 am to 9:30 am
Coffee
Phillips Auditorium
9:30 am to 11:00 am
Keynote 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 am
Break
Phillips 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 pm
Lunch
Lobby/Atrium
1:30 pm to 2:00 pm
Spotlight 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 pm
Interpretability Tutorial:
Core Park (Harvard University)
Title:
Exploring Compositional Generalization of Neural Networks through Synthetic Experiments
Pratt
Friday, July 11th, 2025
9:00 am to 9:30 am
Coffee
Phillips Auditorium
9:30 am to 11:00 am
Keynote 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 am
Break
Phillips 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 pm
Lunch
Lobby/Atrium
1:30 pm to 2:00 pm
Spotlight Speaker:
Daniel Muthukrishna (MIT, AstroAI)
Title:
Causally Motivated Foundation Models: Disentangling Physics from Systematics
Phillips Auditorium
2:00 pm to 5:00 pm
Hackathon
Library/Fishbowl/Pratt/
Lobby/B-105/B-106
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