Flatiron Wide Autumn Meeting (FWAM)

FWAM (“Flatiron-wide Autumn Meeting”, previously “Flatiron-wide Algorithms and Mathematics”) is a two-day internal conference with the goal of introducing and reviewing scientific and computational tools of broad and significant usefulness to Flatiron researchers across all centers of the institute.

FWAM 2025

2025 Themes

Foundations & Concepts of ML
Practical Use of ML
HPC & Advanced Methods
Tools, Frameworks and Tutorials

2025 Committee

Philip Mocz

Center for Computational Astrophysics

David Stein

Center for Computational Biology

Dan Fortunato

Center for Computational Mathematics

Jeff Soules

Center for Computational Mathematics

Philip Greengard

Center for Computational Neuroscience

Jenny Coulter

Center for Computational Quantum Physics

Tanya Marwah

Foundation Models for Science

Geraud Krawezik

Scientific Computing Core

Robert Blackwell

Scientific Computing Core

Agenda

Time	Topic	Speaker
9:30 AM-9:45 AM	Welcome
9:45 AM-10:45 AM	Getting Started With Deep Learning For Science At Flatiron: Model Choices	Rudy Morel, FRF, CCM
10:45 AM-11:45 AM	Implementing Your ML Toolbox	Tanya Marwah, FRF, Foundation Models
11:45 AM-12:00 PM	Coffee Break
12:00 PM-1:00 PM	From Sequences To Geometric Structures And Back	Teresa Huang, FRF, CCM
1:00 PM-1:30 PM	Our Learning Universe: AI Meets The Cosmos	Adrian Bayer, FRF, CMB Analysis and Simulation
1:30 PM-2:30 PM	Lunch
2:30 PM-3:00 PM	Decoding The Human Genome With AI	Yun Hao, FRF, CCB
3:00 PM-3:30 PM	AI Agents For Data Science: How To And Should We	Jeremy Magland, Senior Data Scientist, CCM
3:30 PM-4:30 PM	What Is Machine Learning Good For (And Bad For) In The Physical Sciences?	David Hogg, Group Leader, CCA

Time	Topic	Speaker
9:45 AM-10:45 AM	What Everyone Should Know About Function Approximation In 1 And More Dimensions	Alex Barnett, Group Leader, CCM
10:45 AM-11:45 AM	Quantum Simulation With Tensor Networks In Two- And Three- Dimensions	Joey Tindal, Associate Research Scientist, CCQ
11:45 AM-12:00 AM	Coffee Break
12:00 PM-1:00 PM	Jax Training	Dan Foreman-Mackey, CCA Alum, Google Deepmind
1:00 PM-1:30 PM	Solving Large Systems Of Nonlinear PDES In Julia	David Stein, Research Scientist, CCB
1:30 PM-2:30 PM	Lunch
2:30 PM-3:00 PM	Beyond Autocomplete: AI-Assisted Development In VS Code	Thomas Hahn, FI Software Research Fellow, CCQ
3:00 PM-3:30 PM	Using AI Effectively: Context Over Vibes	Kyle Eskridge, FI Software Research Fellow, CCQ
3:30 PM-4:30 PM	Fast Numerics, Small Changes: The Minimal Playbook	Marco Barbone, Software Engineer, CCM
4:30 PM-6:30 PM	Reception and End of FWAM Celebration!