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AstroAI Workshop 2026
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2026 Workshop

AstroAI Workshop 2026

Details Invited Speakers Abstracts Schedule Venue Code of Conduct

June 15–18, 2026

Four days of talks, tutorials, and collaboration

The complete program from the 2026 AstroAI Workshop, held at the Center for Astrophysics | Harvard & Smithsonian.

  • 4program days
  • 9:00daily start
  • 2CfA venues
Jump to Monday Tuesday Wednesday Thursday

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.

2026 AstroAI Workshop schedule, June 15 through June 18
TimeSessionLocation
Monday, June 15, 2026
9:00 am to 9:30 amWelcome and coffee (Opening Remarks from AstroAI Director Cecilia Garraffo)Phillips Auditorium
9:30 am to 11:00 amKeynote Speaker: Matthew Schwartz (Harvard University)
Title: The Evolution of Science in the Age of AI		Phillips Auditorium
11:00 am to 11:30 amBreakPhillips 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 pmLunchLobby/Atrium
1:30 pm to 2:15 pmSpotlight Speaker: Mike Smith (AstroAI/CfA)
Title: The Platonic Universe: Do Foundation Models See the Same Sky?		Phillips Auditorium
2:15 pm to 3:30 pmTutorial: Rocco Di Tella (AstroAI/CfA)
Title: Introduction to Agentic Coding for Researchers		Phillips Auditorium
3:30 pm to 4:00 pmBreakPhillips Auditorium
4:00 pm to 5:30 pmPoster 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: Ariana Oprea (Peaks as Probes: Simulation-Based Inference of Dark Matter Clustering from Weak-Lensing Convergence Maps)
Poster 22: Jiaming Pan (Evaluating Diffusion Models for Cosmological Simulation Data: Memorization, Generalization, and Scientific Fidelity)
Poster 23: Manuel Perez Carrasco (Plume Segmentation from MethaneSAT with Cross-Sensor Transfer Learning and Physics-Informed Postprocessing)
Poster 24: Biju Saha (Identifying lopsidedness in spiral galaxies using Deep Convolutional Neural Network)
Poster 25: Rajit Shrivastava (BRAHMa: Bar Recognition And Hatching using MAchine learning)
Poster 26: Nicolas Waehner (Machine learning for exoplanet detection using the radial velocity method) 		Wolbach Conference Space
5:30 pm to 7:30 pmReception
Wolbach Conference Space
Tuesday, June 16, 2026
9:00 am to 9:30 amCoffeePhillips Auditorium
9:30 am to 11:00 amKeynote Speaker: Laurence Perreault-Levasseur (Université de Montréal)
Title: Data-Driven High-Dimensional Inverse Problems: A Journey Through Strong Gravitational Lensing Data Analysis		Phillips Auditorium
11:00 am to 11:30 amBreakPhillips 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 pmLunchLobby/Atrium
1:30 pm to 2:15 pmSpotlight 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 pmBreakPhillips Auditorium
4:00 pm to 5:30 pmTutorial: Phillip Cargile (AstroAI/CfA)
Title: Accelerated Computation with Auto-Differentiation: AD/PyTorch/JAX		Phillips Auditorium
Wednesday, June 17, 2026
9:00 am to 9:30 amCoffeePhillips Auditorium
9:30 am to 11:00 amKeynote Speaker: Berthy Feng (IAIFI)
Title: Imaging at the Edge of Science: Integrating Scientific Knowledge and AI to Recover Hidden Structure		Phillips Auditorium
11:00 am to 11:30 amBreakPhillips Auditorium
11:30 am to 12:30 pmEthics Discussion: Matthew Kopec (Harvard University)
Title: Including AI Agents on Scientific Teams: Some Open Ethical Questions		Phillips Auditorium
12:30 pm to 1:30 pmLunchLobby/Atrium
1:30 pm to 2:15 pmSpotlight 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 pmBreakPhillips Auditorium
4:00 pm to 5:30 pmTutorial: Konstantin Malanchev (CMU / LINCC Frameworks)
Title: LSDB - A Tool for Scalable Analysis		Phillips Auditorium
Thursday, June 18, 2026
9:00 am to 9:30 amCoffeePhillips Auditorium
9:30 am to 11:00 amKeynote Speaker: Siddharth Mishra-Sharma (Boston University)
Title: Measuring and forecasting AI scientific capabilities		Phillips Auditorium
11:00 am to 11:30 amBreakPhillips 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 pmLunchLobby/Atrium
1:30 pm to 2:15 pmSpotlight Speaker: Alex Gagliano (Physical Superintelligence)
Title: Foundation Models for Science: Lessons from the Transient Sky		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 pmBreakPhillips Auditorium
4:00 pm to 5:30 pmTutorial: Manuel Perez Carrasco (AstroAI/CfA)
Title: Introduction to Transformers		Phillips Auditorium

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Speakers Abstracts

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