Meet with Modal at ICML
Infrastructure for research that moves fast.
Modal is heading to ICML 2026, the leading conference for machine learning research and innovation.
We’re joining thousands of researchers, engineers, and practitioners exploring the frontiers of AI; from foundation models to optimization, multimodal systems, and beyond.
RSVP on Luma to:
Book a 1:1 with our Modal experts via this page for deeper technical discussions (we'll reach out to you!)
Secure a special Modal GPU themed swag
Where to Meet with Modal
Monday 7/6 to Thursday 7/10 - Booth B719
Tuesday, 7/7- AI Leadership Dinner Hosted by Modal
RSVP here -> https://luma.com/mogw4x6l
Friday, 7/10 - Happy Hour
RSVP here - > https://luma.com/modal-icml-HH
🧑🔬 Meet the Modal Research Team
Dr. Charles Frye - Developer Advocate
PhD in Neuroscience from UC Berkeley; former educator at Weights & Biases and The Full Stack. Known for deep dives like “Reverse-engineering FlashAttention-4.” Author of the https://modal.com/gpu-glossary/readme
Dr. Benjamin Cowen — Forward-Deployed ML Engineer
Former Assistant Research Professor in Electrical Engineering (NYU PhD) with deep experience in acoustic/oceanic sensing and unrolled/ADMM-style optimization methods, plus stints spanning NVIDIA AV, national-lab science, and applied ML. At Modal, focuses on performance engineering and system design for high-throughput ML workloads.
Jason Mancuso — Forward-Deployed ML Engineer
Former research engineer at Cape Privacy (Dropout Labs) and contributor to OpenMined / PySyft.
and more!