AstroAI Workshop 2026

Schedule:

Monday, June 15th, 2026
9:00 am to 9:30 am	Welcome and coffee (Opening Remarks from AstroAI Director Cecilia Garraffo)	Phillips Auditorium
9:30 am to 11:00 am	Keynote Speaker: Matthew Schwartz (Harvard University) Title: The Evolution of Science in the Age of AI	Phillips Auditorium
11:00 am to 11:30 am	Break	Phillips Auditorium
11:30 am to 12:30 pm	Contributed Talks: Large Language Models Speaker 1: Milan Pesta (Anomaly Detection in ASAS-SN Using Visual Embeddings and Agent-Driven Active Learning) Speaker 2: Zesen Huang (Democratizing Astrophysical Research with AI Agents: Lessons from Heliophysics) Speaker 3: Chayan Chatterjee (From Speech to Spacetime: Repurposing Audio Foundation Models for Gravitational Wave Detection)	Phillips Auditorium
12:30 pm to 1:30 pm	Lunch	Lobby/Atrium
1:30 pm to 2:15 pm	Spotlight Speaker: Mike Smith (AstroAI/CfA) Title: The Platonic Universe: Do Foundation Models See the Same Sky?	Phillips Auditorium
2:15 pm to 3:30 pm	Tutorial: Rocco Di Tella (AstroAI/CfA) Title: Introduction to Agentic Coding for Researchers	Phillips Auditorium
3:30 pm to 4:00 pm	Break	Phillips Auditorium
4:00 pm to 5:30 pm	Poster Session Poster 1: Anshuman Acharya (SCHARF: ML-based Super-Resolution for Bridging the galaxy-IGM connection at the Epoch of Reionization) Poster 2: Atal Agrawal (Beyond Pattern Matching: Bridging the Sim-to-Real Gap in Transient Flare Verification Using Vision Language Models) Poster 3: Vaanya Ahuja (Predicting exoplanet radius based on host star orbital parameters) Poster 4: Aleksandr Belotserkovtsev (Super-Resolving Euclid to Find Strong Gravitational Lenses) Poster 5: Srinadh Reddy Bhavanam (Fast GRB Localization from Raw Compton Events with Physics-Guided Implicit Neural Representations) Poster 6: Yang Cheng (A Multi-modal Learning Framework for JWST Imaging and Low-Resolution Spectra) Poster 7: Emma Chickles (Time encoding for irregularly sampled light curves) Poster 8: Tirthankar De (Modelling Hydrodynamics of Self Gravitating Molecular Clouds using Physics Informed Neural Networks) Poster 9: Ruobing Dong (Neural-network-based forward modeling of accretion disks) Poster 10: Braden Draucek (Towards an Understanding of AGN UV-NIR Spectra Using a Physically Motivated Spectral Decomposition Neural Network) Poster 11: Kshitij Duraphe (The Platonic Universe: Do Foundation Models See the Same Sky?) Poster 12: Anmol Gandhi (Pulsar Passage: Predicting Dynamical and Environmental Impacts on the Solar System) Poster 13: Sara Gholamhoseinian (Calibrated Selection Functions for Binary Black Holes via Normalizing Flows) Poster 14: Akum Gill (Stress Testing a Simulation-Based Inference Approach to Weak Lensing Galaxy Cluster Mass Inference) Poster 15: Yash Gondhalekar (Fast and Flexible Unsupervised Characterization of Astronomical Time Series with Multi-Time Attention) Poster 16: Alberto Guirado (AstroDetector: Comparing CNN and Random Forest Classifiers for Gravitational Lens Detection in Astronomical Imagery) Poster 17: Paridhi Jain (A General ML Framework for Diagnosing Physics Tensions in the Multi-Probe Era) Poster 18: Nishu Karna (A Foundation Model Approach to Solar Filament Detection) Poster 19: Dakshesh Kololgi (Learning the Cosmic Web: Inferring Cosmic Web Environments of Galaxies from Surveys) Poster 20: Rhea Senthil Kumar (PLANT: Conditional Generative Models for Fast Gravitational-Wave Population Synthesis) Poster 21: Jiaming Pan (Evaluating Diffusion Models for Cosmological Simulation Data: Memorization, Generalization, and Scientific Fidelity) Poster 22: Manuel Perez Carrasco (Plume Segmentation from MethaneSAT with Cross-Sensor Transfer Learning and Physics-Informed Postprocessing) Poster 23: Biju Saha (Identifying lopsidedness in spiral galaxies using Deep Convolutional Neural Network) Poster 24: Rajit Shrivastava (BRAHMa: Bar Recognition And Hatching using MAchine learning) Poster 25: Nicolas Waehner (Machine learning for exoplanet detection using the radial velocity method)	Wolbach Conference Space
5:30 pm to 7:30 pm	Reception	Wolbach Conference Space
Tuesday, June 16th, 2026
9:00 am to 9:30 am	Coffee	Phillips Auditorium
9:30 am to 11:00 am	Keynote Speaker: Laurence Perreault-Levasseur (Université de Montréal) Title: TBA	Phillips Auditorium
11:00 am to 11:30 am	Break	Phillips Auditorium
11:30 am to 12:30 pm	Contributed Talks: Inference/Classification 1 Speaker 1: Derick F. Tangap (Cross-Scale Parameter Inference using Reinforcement Learning within a Centripetal Reference Framework) Speaker 2: Angelo Ricarte (Observational Signatures of Flux Eruption Events in Black Hole Accretion Flows) Speaker 3: Ming-Shau Liu (Continuous Representations of Baryonic Feedback for Robust Inference from Multiple Simulation Suites)	Phillips Auditorium
12:30 pm to 1:30 pm	Lunch	Lobby/Atrium
1:30 pm to 2:15 pm	Spotlight Speaker: Kaley Brauer (Harvard University) Title: How Do We Know What an AI System Is Thinking?	Phillips Auditorium
2:15 pm to 3:30 pm	Contributed Talks: Inference/Classification 2 Speaker 1: Shunyuan Mao (Self-Supervised Neural Networks for High-Resolution Radio Imaging) Speaker 2: Estuti Shukla (Identifying Spacetimes using Neural Networks) Speaker 3: Alicia Martin (Symbolically regressing dark matter halo profiles using weak lensing) Speaker 4: Kianoosh Tahani (From Clouds to Stars: Determining Star Formation Efficiency via Stochastic Modeling and Machine Learning)	Phillips Auditorium
3:30 pm to 4:00 pm	Break	Phillips Auditorium
4:00 pm to 5:30 pm	Tutorial: Phillip Cargile (AstroAI/CfA) Title: Accelerated Computation with Auto-Differentiation: AD/PyTorch/JAX	Phillips Auditorium
Wednesday, June 17th, 2026
9:00 am to 9:30 am	Coffee	Phillips Auditorium
9:30 am to 11:00 am	Keynote Speaker: Siddharth Mishra-Sharma (Boston University) Title: TBA	Phillips Auditorium
11:00 am to 11:30 am	Break	Phillips Auditorium
11:30 am to 12:30 pm	Ethics Discussion: Matthew Kopec (Harvard University) Title: Including AI Agents on Scientific Teams: Some Open Ethical Questions	Phillips Auditorium
12:30 pm to 1:30 pm	Lunch	Lobby/Atrium
1:30 pm to 2:15 pm	Spotlight Speaker: Ana Sofía Uzsoy (AstroAI/Harvard University) Title: Manifold learning for cosmic structures	Phillips Auditorium
2:15 pm to 3:30 pm	Contributed Talks: Generative Modeling Speaker 1: Leena Iwamoto (Learning to Jet: A 3-D UNet Enabled Subgrid Model for AGN Jet Feedback in Cosmological Simulations) Speaker 2: Sacha Perry-Fagant (Inference of Star Formation and Metallicity Histories from Galaxy Spectra with Score-Based Models) Speaker 3: Fatemeh Hafezianzadeh (An AI super-resolution field emulator for cosmological hydrodynamics: the Lyman-α forest)	Phillips Auditorium
3:30 pm to 4:00 pm	Break	Phillips Auditorium
4:00 pm to 5:30 pm	Tutorial: Konstantin Malanchev (CMU / LINCC Frameworks) Title: LSDB - A Tool for Scalable Analysis	Phillips Auditorium
Thursday, June 18th, 2026
9:00 am to 9:30 am	Coffee	Phillips Auditorium
9:30 am to 11:00 am	Keynote Speaker: Berthy Feng (IAIFI) Title: TBA	Phillips Auditorium
11:00 am to 11:30 am	Break	Phillips Auditorium
11:30 am to 12:30 pm	Contributed Talks: Source/Anomaly Detection 1 Speaker 1: Drew Oldag (Hyrax - A low-code solution for rapid experimentation with machine learning and unsupervised discovery in astronomy.) Speaker 2: Konstantin Malanchev (Scalable multi-modal catalog analysis with LSDB framework and HATS catalog format) Speaker 3: Pablo Mercader Perez (Disentangling Physics and Measurement Artifacts in Multi-Sensor Astrophysical Data)	Phillips Auditorium
12:30 pm to 1:30 pm	Lunch	Lobby/Atrium
1:30 pm to 2:15 pm	Spotlight Speaker: Alex Gagliano (IAIFI / AstroAI) Title: TBA	Phillips Auditorium
2:15 pm to 3:30 pm	Contributed Talks: Source/Anomaly Detection 2 Speaker 1: Hurum Maksora Tohfa (AIDonut : First Real-Time Neural Network Control of Telescope Active Optics the Vera Rubin Observatory) Speaker 2: Steven Dillmann (Terminal-Bench-Science: Evaluating AI Agents on Computational Workflows in the Natural Sciences) Speaker 3: Nico Bers (Ingredients of Our Black Hole's Diet: Using Unsupervised Learning to Correlate Different Gas Phases in the Center of the Milky Way) Speaker 4: Adiba Amira Siddiqa (Extracting Spectroscopic Information from Imaging and Photometry using Probabilistic Machine Learning)	Phillips Auditorium
3:30 pm to 4:00 pm	Break	Phillips Auditorium
4:00 pm to 5:30 pm	Tutorial: Manuel Perez Carrasco (AstroAI/CfA) Title: Introduction to Transformers	Phillips Auditorium

AstroAI Workshop 2026

Schedule:

Visual Schedule: