David R. Martinez

David R. Martinez is Laboratory Fellow at MIT Lincoln Laboratory and MIT Lead Instructor. His emphasis is on artificial intelligence, high performance computing, and technical leadership. Prior to this appointment, he was Associate Division Head, and a member of the Laboratory's Steering Committee.

He is the MIT Lead Lecturer for the course titled: "AI Strategies and Roadmap: Systems Engineering Approach to AI Development and Deployment." The course is based on his former graduate engineering course taught at MIT that instructed students on techniques to formulating an AI strategic roadmap, starting from AI architecture principles, leading to concept prototyping, and deployment of end-to-end AI system capabilities, including hands-on experiential learning leveraging a single-board computer. The course also addressed responsible AI, and the leadership of multi-disciplinary teams. His new AI book is used in this course providing more in-depth treatment of all the lectures.

He is also lead director for the MIT course titled: AI System Architecture and LLM (Large Language Models) Applications.

Mr. Martinez has held many past technical leadership roles, including Group Leader of the Embedded Digital Systems Group and Division Head of the ISR Systems and Technology Division at the MIT Lincoln Laboratory. Mr. Martinez also served in a leadership role as President and Chairman of Mercury Federal Systems; a commercial subsidiary of Mercury Systems.

Mr. Martinez has developed and led complex prototype systems, from their inception to their final deployments. The system demonstrations operated in real-time, leveraging adaptive signal processing and high performance embedded computing. These successful prototype demonstrations served as the pathfinder for industry to later commercialize.

He has been a keynote speaker at both national and international conferences, in cyber security, artificial intelligence, and high performance computing. He is an IEEE Life Fellow. He holds three U.S. patents based on his work in signal processing for seismic applications. He received the special achievement award from ARCO Oil and Gas Research Center.

He established and chaired workshops on High Performance Computing, Robustness of AI Systems, and Artificial Intelligence for Cyber Security. He was awarded the Eminent Engineer Award from the College of Engineering at NMSU, and was elected to the NMSU Klipsch Electrical and Computer Engineering Academy.

Mr. Martinez was awarded a BS degree from New Mexico State University, an MS degree from MIT, and the EE degree jointly from MIT and the Woods Hole Oceanographic Institution in Electrical Engineering and Oceanographic Engineering. He completed an MBA from the Southern Methodist University. He is fluent in Spanish. He is an avid saltwater fisherman, golfer, and outdoorsman.