AstroAI Workshop 2025

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: Rocco Di Tella (Building Honest Agents Through Introspection: Probe-driven Generation of Confidence Scores) Poster 4: Steven Dillmann (Representation Learning for X-ray Transients) Poster 5: Rosa A Gonzalez (Using AI tools to determine the globular cluster system -- total galaxy stellar mass relation at z=0.4) Poster 6: Hossein Hatamnia (AI-Driven Methods for Identifying Cosmic Web Environments) Poster 7: Bradley Hutchinson (A Sequential Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys) Poster 8: BAIMAM BOUKAR JEAN JACQUES (Explainable Deep-Learning Based Potentially Hazardous Asteroids Classification Using Graph Neural Networks) Poster 9: Naysha Jain (Exospore: AI-Driven Detection of Microbial Life for Planetary Protection) Poster 10: Rintaro Kanaki (Evaluation and Modeling of Spatial Selection Effects in Photometric Redshifts) Poster 11: Fulya Kiroglu (When Stars Collide: Letting Neural Networks Pick Up the Pieces) Poster 12: Christina X. Liu (Analyzing the Impacts of Stellar and Planetary Parameters to Exoplanet Habitability through Machine Learning) Poster 13: Carolyn M Mill (Investigating Survey Systematics with Bayesian Statistics) Poster 14: Lorenzo Monti (CLiMBing the Galactic Ladder: Unveiling Hidden Structures with Semi-supervised Clustering Algorithms) Poster 15: Drew Oldag (Hyrax) Poster 16: Andrea Persici (Blended Source Detection in Deep Fields: A Max-Tree Approach Informed by Survey and Simulated Data) Poster 17: Fiona Redmen (Expediting Black Hole X-Ray Spectroscopy: Variational Auto-Encoders with Normalizing Flows) Poster 18: Ashwini Nagaraj Shenoy (Solar Flare Forecasting using Machine learning/Deep learning techniques) Poster 19: Abu Bucker Siddik (Degeneracy-Aware Pulsar Parameter Estimation from Light Curves via Deep Learning and Test-Time Optimization) Poster 20: Adiba Amira Siddiqa (Using Deep Neural Networks to Detect Dark Star Candidates in the Early Universe) Poster 21: Jared Sofair (Spectrophotometric Inference of Stellar and Binary Parameters) Poster 22: Akash Vani (Machine learning-based emulator for large-volume semi-analytical galaxy formation models) Poster 23: Simone Vilardi (Accelerating LAAT with Hub Pre-Processing: Efficient Detection of Filaments and Streams) Poster 24: Jennifer Yee (LensNet: Enhancing Real-time Microlensing Event Discovery with Recurrent Neural Networks in the Korea Microlensing Telescope Network)	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: TBA	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: TBA	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) 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) Speaker 2: Paul Gregory (Transformer-Based TESS Light Curve Classification) 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: TBA	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) Speaker 2: Srinadh Reddy Bhavanam (Deep Learning for Compton Image Reconstruction) Speaker 3: Ole Koenig (Modeling X-ray photon pile-up with machine learning)	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