Speaker Profile
Ph.D., Founder & CEO, Fovus
Biography
Fengbo Ren is the founder of Fovus, the world’s first AI powered, serverless HPC platform designed for teams running large scale computational biology, drug discovery, and AI driven scientific workloads. Fovus helps researchers and platform teams achieve over 100x faster time to insight and 80% to 85% lower cloud costs for workloads such as Nextflow RNA seq pipelines, molecular dynamics simulations, and protein structure prediction.
As part of the Amazon Web Services Global Startup Program, Fovus works closely with AWS to help scientists run genomics, multi omics, cheminformatics, and structural biology pipelines and computational workloads at scale, without managing clusters, infrastructure, or manual optimization.
Fengbo brings a practitioner focused perspective on simplifying HPC operations, helping scientific teams spend less time managing compute and more time generating results.
Talk
Accelerating Cheminformatics and Bioinformatics with AI Powered Serverless HPC
Complex cheminformatics and bioinformatics workloads such as Nextflow RNA-seq pipelines, GROMACS molecular dynamics, and Boltz models often face scaling, cost, and operational challenges on the cloud. This session shows how AI-powered, serverless HPC from Fovus delivers over 100x faster time-to-insight and 80–85% lower cloud costs while eliminating infrastructure management and enabling scalable scientific computing.
Session Abstract – PMWC 2026 Silicon Valley
Track Chair:
Sharat Israni, UCSF
PMWC Award Ceremony
• Regina Barzilay, MIT
• Joe Petro, Microsoft
• Curtis P. Langlotz, Stanford University
Keynote: The Future of AI in Medical Imaging
• Curtis P. Langlotz, Stanford University
From Foundation Models to Digital Twins: AI Reshaping Clinical Imaging
• Chair: Alexander Weir, Canon Medical
• Regina Barzilay, MIT
• Joe Petro, Microsoft
• Curtis P. Langlotz, Stanford University
Fireside Chat
• Eric Horvitz, Microsoft
• Curtis P. Langlotz, Stanford University
Getting Real Results with AI: Better Molecules, Smarter Devices, Faster Innovation
• Martin Stumpe, Danaher
Keynote: AI Tools for Cancer Diagnostics and Treatment
• Regina Barzilay, MIT
Core AI Methods for Precision Medicine Foundations
• Chair: Sharat Israni, UCSF
• James Zou, Stanford University
From Multimodal Data to Clinical Digital Twins: Linking Imaging, Omics, and Decisions
• Stephen Quake, Stanford
AI & Omics Foundation Models Powering Translational Research
• Chair: Janusz Dutkowski, Data4Cure
• Alex Moreau, Champions Oncology
• Jadwiga Bienkowska, Pfizer
AI-Enhanced Imaging: Radiomics, Radiogenomics, and Simulation
• Chair: Chris Hare, Canon Medical
• Ángel Alberich-Bayarri, Quibim
• Kevin Blyth, University of Glasgow
• Maria del Mar Alvarez-Torres, Columbia University
Clinical Workflow Integration & Decision Support in Imaging
• Chair: Sharat Israni, UCSF
• David S. Liebeskind, UCLA
• Rajesh Shah, UCSF
• Roxana Daneshjou, Stanford University
• Mohammad Alexanderani, U Pitt
AI-Powered Serverless HPC for Scientific Discovery
• Fengbo Ren, Fovus
