Dr. Harisankar (Hari) Sadasivan is a Senior AI Performance Engineer at NVIDIA, an affiliate assistant professor at the University of Washington in Seattle, and a Senior Member and Distinguished Visitor of the IEEE Computer Society. Hari’s research centers on three Critical and Emerging Technologies designated as vital to U.S. national security: advanced computing, artificial intelligence, and biotechnologies. Hari currently leads NVIDIA’s cuEquivariance library's GPU-accelerated AI kernels for drug discovery. His collaborators include a Nobel Laureate, leading researchers at institutions such as MIT and Stanford, and several frontier AI startups. Previously, Hari led the AMD Center of Excellence in AI at the University of Washington, contributed to AMD Composable Kernel library (used by tech-giants including Meta and MS to accelerate AI), and co-founded AMD’s life sciences group, where he helped build high-performance AI solutions at the intersection of computing and biology.

Hari received his PhD and Master’s degrees in Computer Science and Engineering from the University of Michigan, Ann Arbor, where he was advised by Prof. Satish Narayanasamy. His doctoral research advanced the state of the art in hardware–software co-design for accelerated and portable long-read DNA sequencing. Hari’s PhD work received the prestigious 2022 MICRO Top Picks Honorable Mention, along with multiple artifact badges recognizing its rigor, impact, and reproducibility. He serves as a technical reviewer for several leading IEEE and ACM venues, including some of the longest-running and most influential conferences and journals in computer architecture and systems. Hari has previously brought his expertise to industry roles at Samsung R&D.