Scientific discovery faces a major bottleneck: while generative AI has transformed information processing, it has not yet unlocked comparable acceleration in understanding the physical world. Traditional computational chemistry and materials modeling remain too slow, expensive, and limited to power large-scale innovation. SandboxAQ tackled this challenge by developing Large Quantitative Models (LQMs) — a new class of AI models that merge machine learning, physics-based simulation, and quantum-inspired algorithms to model molecular and material interactions at unprecedented speed and...
Rahul Gupta
Vice President of Product
SandboxAQ
Rahul Gupta is a seasoned technology product leader specializing in AI/ML model, platform and application development with deep experience building and scaling cloud-native software from early vision through enterprise adoption. As Vice President of Product at SandboxAQ, he currently leads the development and commercialization of category leading Large Quantitative Models (LQMs) leveraging AI and scientific approaches grounded in physics, chemistry and biology. These multi-scale LQMs serve mission-critical applications in drug discovery, materials research, battery design and beyond. Prior to SandboxAQ, Rahul spent nearly a decade at Amazon where he led Product Management for a number of AWS AI/ML services spanning Generative AI, Computer Vision and Natural Language Processing. He holds an MBA from Dartmouth College and a Bachelor's degree in Electrical and Computer Engineering from Worcester Polytechnic Institute.