Vega Shah

Vega Shah is a platform lead at NVentures, the venture capital arm at NVIDIA, where she manages the firm’s investment portfolio and works with startups across frontier models, TechBio, robotics, AI infrastructure, materials discovery, energy, quantum and healthcare. She focuses on driving technical and ecosystem integration between NVIDIA and portfolio companies to support long term collaboration. Vega draws on her background as a scientist and product manager and is particularly interested in areas where AI translates into real world systems, including biology, robotics and other scientific applications. She enjoys working with founders and contributing to emerging technologies. She holds a PhD in genomics from the University of Washington and a bachelor’s degree in biology from the University of California, Berkeley.
Avatar photo

Posts by Vega Shah

Agentic AI / Generative AI

How to Train Scientific Agents with Reinforcement Learning

The scientific process can be repetitive and tedious, with researchers spending hours digging through papers, managing experiment workflows, or wrangling... 13 MIN READ
Agentic AI / Generative AI

Advancing Literature Review & Target Discovery With NVIDIA Biomedical AI-Q Research Agent Blueprint

Biomedical research and drug discovery have long been constrained by labor-intensive processes. In order to kick-off a drug discovery campaign, researchers... 4 MIN READ
A surgeon using a medical device in an operating room.
Agentic AI / Generative AI

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.
Data Science

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
Agentic AI / Generative AI

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
Agentic AI / Generative AI

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