Center for Decoding the Universe Annual Conference

Guido Imbens, Stanford Data Science Faculty Director, and Applied Econometrics Professor

Risa Wechsler, Humanities and Sciences Professor and Professor of Physics,  Stanford University; Director, Kavli Institute for Particle Astrophysics and Cosmology (KIPAC); Director, Center for Decoding the Universe

Susan Clark, Assistant Professor of Physics, Stanford University

Phil Marshall, Senior Scientist, SLAC National Accelerator Laboratory; Deputy Director of Operations, Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST)

Josh Bloom, Professor of Astronomy, University of California, Berkeley

Ben Nachman, Associate Professor of Particle Physics and Astrophysics and, by courtesy, of Physics and Statistics, Stanford University 

Ashley Villar, Assistant Professor of Astronomy, Harvard University

Maja Jablonska, PhD Candidate in Astrophysics, Research School of Astronomy and Astrophysics, Australian National University

• Talk Title: SPICE: AI-Driven Stellar Spectral Synthesis with Surface Inhomogeneities and Binary Interactions

Peter Melchior, Assistant Professor of Statistical Astronomy, Princeton University

• Talk Title: Outliers and Hidden Relations in Galaxy Spectroscopy and Photometry

Charlotte Ward, Postdoc, Astro Data Lab, Princeton University

• Talk Title: Multi-resolution joint analysis of ground and space-based surveys for the discovery and characterization of rare transients and AGN

Linnea Wolniewicz, PhD Student, Information and Computer Sciences, University of Hawaii at Manoa

• Talk Title: Dipper Detector: Probabilistic Detection of Anomalous Dimming in Stellar Light Curves

Christine Ye, Undergraduate Student of Mathematics and Physics, Stanford University 

• Talk Title: ResearchBench: Evaluating Language Models on Astrophysics Research Paper Reproduction

Laurence Perreault Levasseur, Assistant Professor of Physics, Université de Montréal

Vasilis Syrgkanis, Assistant Professor in Management Science and Engineering and (by courtesy) in Computer Science and Electrical Engineering, Stanford University

Ben Wandelt, Professor of Physics and Astronomy, and of Applied Mathematics and Statistics, Johns Hopkins University

Sydney Erickson, 3rd Year PhD Student in Physics, Stanford University 

• Talk Title: Modeling Strongly Lensed Quasars at LSST-Scale

Tiffany Fan, PhD Candidate in Computational and Mathematical Engineering, Stanford University

• Talk Title: Graph-Based Surrogate Modeling for Particle Accelerators

Sophia Lu, PhD Candidate in Statistics, Stanford University

• Talk Title: Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching

Guillem Megias Homar, PhD Student in Aeronautics and Astronautics, Stanford University; Graduate Research Assistant, SLAC

• Talk Title: Data-Driven Insights into the Rubin Observatory’s Imaging Performance and System Behavior

Shuo Xin, PhD Student in Physics, Stanford University 

• Talk Title: Adaptive mesh refinement for neural rendering

Emma Brunskill, Associate Professor of Computer Science, Stanford University

Siddharth Mishra-Sharma, Assistant Professor of Computing & Data Sciences and Physics, Boston University

Brant Robertson, Professor of Astronomy, UC Santa Cruz

Diyi Yang, Assistant Professor of Computer Science, Stanford University 

Moderator: Risa Wechsler

David Fouhey, Assistant Professor of Computer Science and of Electrical Engineering, New York University 

Marc Huertas-Company, Staff Research Scientist and Group Leader, Instituto de Astrofísica de Canarias (Spain); Associate Professor (on leave), University of Paris and the Paris Observatory (France)

François Lanusse, Cosmologist and Astrostatistician, CNRS; Guest Researcher, Flatiron Institute 

Philipp Frank, Postdoctoral Scholar of Physics; KIPAC Fellow, Stanford University 

• Talk Title: Geometric Variational Inference for High-Dimensional Astronomical Inverse Problems

Sonia Kim, Masters Student in Electrical Engineering, Stanford University 

• Talk Title: Dual Ascent Diffusion for Inverse Problems

Benjamin Remy, Postdoctoral Research Associate, Princeton University 

• Talk Title: Learning to Deblend Galaxies from Blended Observations with Diffusion Models

Rahul Mysore Venkatesh, PhD Student in Computer Science, Stanford University 

• Talk Title: Probing Causal Structure in Visual Data via Predictive World Models

Sebastian Wagner-Carena, Faculty Fellow, NYU; Flatiron Research Fellow, Simons Foundation

• Talk Title: A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors