Founder & CEO
Jeff has a proven track record as an inventor and innovator of production-proven semiconductor process control solutions. As an inventor, Jeff has 50+ US patents pertaining to the Semiconductor Industry, including the Applied Materials 2008 Patent of the Year.
Jeff has had a long career in developing and implementing process control systems that have increased yield and lowered costs in the world’s largest semiconductor manufacturers. Prior to founding StreamMosaic, Jeff was an Engineering Manager and Senior Member of Technical Staff at Applied Materials. During his 18 years at Applied Materials, Jeff developed and implemented systems and algorithms that have had a significant impact on the Semiconductor Industry. Many of the microchips produced today are manufactured using algorithms and systems Jeff helped develop.
Jeff has his M.B.A. from Indiana University Kelley School of Business, his M.S. in Interdisciplinary Engineering from Purdue University, and his B.S. in Electrical Engineering from Purdue University. At Stanford University, Jeff has completed courses in Machine Learning and Mining Massive Datasets.
Head of Sales & Marketing
Mike is focused on ensuring StreamMosaic clients realize full value from StreamMosaic solutions. His responsibilities span the lifecycle of the customer, from acquisition, early stage engagements/POC, on-boarding, production, support, renewal, and partnerships. He has 20+ yrs. of combined client facing, domestic and international experience leading business development, strategic partnerships, sales, and operations teams at leading companies (IBM Microelectronics, Intel, IBM Advanced Analytics, BigML (ML-as-a-Service)) providing innovative technology solutions to customers in the Big Data/Internet-of-Things, Advanced Analytics/Machine Learning space, and semiconductor/electronics manufacturing and services industries.
Mike holds a Master of Science in Technology & Science Commercialization from University of Texas at Austin, a Bachelor of Science in Industrial & Systems Engineering from San Jose State University, and a Certificate in Business Development & Partnerships from Harvard Business School.
Tomonori Honda, PhD
Principal Data Scientist
Tomonori has broad experience and expertise across industries. Before joining StreamMosaic, he was a data scientist for 4INFO, Inflection, PARC, Edmunds.com, and Opera Solutions. He has created predictive models using sensor data, spatiotemporal data, semi-structured text data, and user behavioral data. He has two patents pending in the area of diagnostics for machine tool and reliability based design. His broader area of expertise includes machine learning, diagnostics & prognostics, reliability based design, and design synthesis.
Tomonori received a Ph.D. and M.S. in Mechanical Engineering from the California Institute of Technology and a B.S. in Mechanical Engineering and Nuclear Engineering from the University of California, Berkeley. He continued his Ph.D. research at Massachusetts Institute of Technology as a Postdoctroal Scholar/Research Scientist for several years. He has published over 12 papers in journals and 28 peer-reviewed conferences. Tomonori won the 2013 JALA Ten Award from Society of Laboratory Automation and Screening (SLAS) and the 2013 ASME Design Theory and Methodology Best Paper Award.
Machine Learning Researcher
As a Machine Learning Researcher at StreamMosaic, Rohan is focused on development of algorithms for yield enhancement in semiconductor and electronic manufacturing. Prior to StreamMosiac, Rohan was a Senior Data Scientist at Intuit, which he joined as a part of Intuit’s acquisition of Level Up Analytics, an analytics consulting firm. At Intuit, Rohan designed and built Intuit’s event data processing system and productionized multiple unsupervised learning algorithms in the areas of search, image processing and time-series analysis. Before Level Up, Rohan was a Senior Member of Technical Staff at Sandia National Laboratories in Albuquerque. His work at Sandia includes a portfolio of inventions in nanophotonics and over USD 2M in research grants.
Rohan holds a B.Tech in Electrical Engineering from IIT Bombay and a MS/PhD in Electrical Engineering from Stanford University. He has 40 publications (with over 800 citations) and 3 issued patents in the areas of computational physics and semiconductor optical metrology.