NEWSROOM

Jay Dawani is the co-founder and chief executive officer of Lemurian Labs, where he leads the company’s mission to reinvent AI infrastructure for greater efficiency, accessibility and performance. With a background spanning AI system architecture, hardware-software co-design and performance optimization, Dawani has built AI-powered systems for autonomous vehicles, spaceflight and large-scale model deployment. Before founding Lemurian Labs in 2022, he advised on NASA’s Mars Rover program at Geometric Energy, focusing on vision-based navigation and planetary mapping. A frequent speaker and commentator, Jay is passionate about shaping AI infrastructure to broaden access, accelerate innovation and unlock new frontiers in intelligent computing.

Chris Vick is the vice president of engineering at Lemurian Labs, where he leads the development of high-performance, energy-efficient compiler and runtime systems that enhance GPU utilization for AI workloads. Since joining in 2025, he has overseen the creation of a GPU runtime once thought to be unachievable, earning interest from cloud providers, semiconductor companies and enterprise AI users. Vick brings decades of experience in high-performance computing and compiler technology, including advancing heterogeneous computing research at Qualcomm and co-authoring the first optimizing just-in-time compiler for the HotSpot Java Virtual Machine at Sun Microsystems. He holds a bachelor’s degree in computer science from Rutgers University and a master’s degree in computer science from Rice University.

Adam Robertson is the head of AI infrastructure at Lemurian Labs, where he leads the design of scalable, software-first platforms that simplify AI deployment across cloud, edge and on-premise environments. A veteran of the DevOps movement since 2008, he has held leadership roles at Control Plane Corp, WitnessAI, Flexport, Pinger and Playdom, guiding infrastructure strategies that support growth, reliability and innovation. Robertson specializes in multi-cloud Kubernetes deployments, MLOps and cloud-native architectures, and has shared his expertise through published articles and industry webinars.