Kevin Shaw

Ph.D., CTO/Founder
Algorithmic Intuition

Dr. Kevin Shaw is Chief Technology Officer and co-founder at Algorithmic Intuition Inc (Ai2). With five degrees, 30+ patents and 25+ years in the field, he is a well-respected international speaker and technology leader for MEMS, IoT and AI/ML algorithms. Kevin grew up in San Diego, CA where he attended the University of California at San Diego, earning his Baccalaureate in Electrical Engineering (Cum Laude). He went to Cornell University for his doctoral studies in the brand-new field of MEMS (Micro-Electro-Mechanical Systems) where microscopic mechanical structures were built from silicon wafers. The field in the early 90’s was new and his designs focused on simple, production-worthy, integrated solutions – which today are the norm and used in every phone around the planet. At Cornell, he earned two Master’s degrees and a Ph.D. in Electrical Engineering and wrote some of the first papers on single-crystal silicon accelerometers. He also was granted over two dozen U.S. patents in MEMS. Kevin’s expertise earned him an early spot at a nascent MEMS semiconductor foundry, Kionix Inc (Ithaca, NY), where he and a team of dedicated engineers built a semiconductor fabrication facility from the ground up and put these new MEMS devices into production. Four years later (in 2000), Kionix was sold to Calient Networks for $240 million. Following Calient, he moved to Stanford University where he attended the Graduate School of Business as a Sloan Fellow, earning a Masters in Management. He next joined Sensor Platforms Inc, a company focused on algorithms for sensors, as its Chief Technology Officer. They were acquired in 2014 by Audience Inc for $43 million. In 2015, he co-founded Algorithmic Intuition Inc (Ai2) where they are building algorithms, using Deep Neural Networks (DNNs) and Machine Learning (ML) for medical products. Their first product is the ADLcare™ eldercare monitoring platform which combines these algorithms with on-body sensors to track activities of daily living (ADLs), falls and vitals. The sensor processing platform underlying ADLcare is a robust data processing pipeline with broad applicability for interpreting remote sensors using AI/ML algorithms.

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