AWS Public Sector Blog

Ben Busby

Author: Ben Busby

Ben is a renowned leader in bioinformatics, computational biology, and interdisciplinary data science. With a career spanning academia, industry, and government, he is dedicated to making biomedical data science a more productive and collaborative environment for bioinformaticians and data scientists. He currently serves as global alliances manager, omics at NVIDIA, where he drives strategic collaborations and innovations in genomics, AI, and biomedical research. He is also an adjunct faculty member in the Computational Biology Department at Carnegie Mellon University, contributing to cutting-edge research and education.

Federated learning for biobank data at the CMU-NVIDIA Hackathon

Federated learning for biobank data at the CMU-NVIDIA Hackathon

by Ben Busby, Dr. Beryl Rabindran, Cristian Chicas, Holger Roth, Maria Fassinger, and Melanie Gainey on in Public Sector Permalink Share

In this blog post, we will share how at the January 2026 Carnegie Mellon University (CMU)–NVIDIA Federated Learning Hackathon for Biomedical Applications, ten teams built end‑to‑end prototypes on NVIDIA FLARE (NVIDIA Federated Learning Application Runtime Environment), with data prepared for modeling on Amazon Web Services (AWS), to test how FL could support real‑world biobank collaboration at scale.

AWS branded background with text "Bridging AI and biology: Inside the AWS and NVIDIA Open Data knowledge graph hackathon"

Bridging AI and biology: Inside the AWS and NVIDIA Open Data knowledge graph hackathon

Knowledge graphs (KGs) and large language models (LLMs) are transforming biomedical research, but ensuring artificial intelligence (AI) outputs are trustworthy and evidence-based remains challenging. At the recent AWS and NVIDIA Open Data knowledge graph hackathon, teams of researchers tackled this challenge by developing innovative solutions that combine knowledge graphs with graph-based retrieval-augmented generation (GraphRAG). Read this post to learn more.