Vega Shah

Vega Shah is the product marketing lead for Digital Health, Life Sciences & Cloud Solutions at NVIDIA. With a background in biotech software, Vega was previously a product manager at Dotmatics, where she built cloud-based tools for virtual screening. She also shaped product strategies for drug discovery at Benchling, a leading lab data management company. Beyond her professional career, Vega has played a pivotal role in fostering life sciences communities in the SF Bay Area. She completed her undergraduate studies in biology at the University of California, Berkeley, and holds a PhD in genomics from the University of Washington, Seattle.
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Posts by Vega Shah

A surgeon using a medical device in an operating room.
Generative AI Dec 20, 2024

Build a Generative AI Medical Device Training Assistant with NVIDIA NIM Microservices

Innovation in medical devices continues to accelerate, with a record number authorized by the FDA every year. When these new or updated devices are introduced... 5 MIN READ
Image shows a 3D molecular structure of a protein, most likely an antibody, visualized using a ribbon diagram, with the classic Y-shaped configuration characteristic of antibodies.
AI Platforms / Deployment Dec 03, 2024

In-Silico Antibody Development with AlphaBind Using NVIDIA BioNeMo and AWS HealthOmics

Antibodies have become the most prevalent class of therapeutics, primarily due to their ability to target specific antigens, enabling them to treat a wide range... 6 MIN READ
Generative AI Nov 20, 2024

Advancing Neuroscience Research with Visual Question Answering and Multimodal Retrieval

Leading healthcare organizations are turning to generative AI to help build applications that can deliver life-saving impacts. These organizations include the... 8 MIN READ
Generative AI Sep 26, 2024

Spotlight: Montai Builds a Multimodal AI Platform for Drug Discovery Using NVIDIA NIM Microservices

Drug discovery aims to develop new therapeutic agents that effectively target diseases while minimizing side effects for patients. Using multimodal data—such... 4 MIN READ