Ananth Grama serves as the Samuel D. Conte Distinguished Professor of Computer Science and Director of the Purdue Institute for Physical AI. A pioneering researcher in parallel and distributed computing, large-scale scientific computing, and artificial intelligence, Professor Grama has spent his career advancing the frontiers of scalable computation for complex scientific problems.
His guidance is instrumental in designing and scaling the interpretable foundation models at the core of the Cytognosis platform. Professor Grama's expertise in physical AI systems provides critical insight for building models that remain scientifically rigorous, computationally efficient, and clinically deployable as Cytognosis scales from research prototypes to population-level health mapping. His work ensures that the platform's AI infrastructure can handle the high-dimensional, multimodal data required to map cellular states across millions of individuals.