Summary
Adeesh Kolluru is a founder and AI scientist with seven years of experience building deep-learning systems that accelerate materials and molecular discovery. A Carnegie Mellon PhD, he has led research and engineering efforts across industry labs—contributing to Open Catalyst, developing a state-of-the-art materials predictor (EGIP), and launching batched MD simulation tooling in PyTorch. He blends expertise in GNNs, diffusion models, LLMs, and large-scale multi-task training to turn physics-aware models into practical discovery agents. Based in San Francisco, Adeesh moves between hands-on model engineering and product-focused leadership, most recently founding a stealth startup after heading AI at Radical AI. Beyond publications, his work is notable for making high-throughput simulation and generative models computationally efficient, enabling faster iteration on novel materials.
7 years of coding experience
1 year of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
Doctor of Philosophy - PhD Chemical Engineering, Doctor of Philosophy - PhD Chemical Engineering at Carnegie Mellon University
English, Hindi, Telugu, Kannada