We're on a mission to help cities operate more efficiently through a fully automated approach to infrastructure management. Recent advancements in lidar and deep learning technology have presented the perfect opportunity to deliver a solution that is both practical and affordable.
Machine learning, data science, and engineering leader with 18+ years of experience developing decentralized large scale multi-sensor systems and designing advanced analytical methods across healthcare and surveillance domains. Skilled at building high performance cross-functional teams of engineers, data scientists, statisticians, and other technical leaders across multiple industries with while having a clear focus on actionable data-driven insights. Expert in machine learning, applied mathematics, deep learning, mechanical engineering, systems engineering, modeling and simulation and computational methods.
Education:
B.S. Mechanical Engineering at WPI
M.S. Manufacturing Engineering at Columbia University
M.S. Applied Mathematics at Northeastern
M.E. Systems Engineering at John Hopkins University
MS. Data Science - AI at Northwestern University
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