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Experienced researcher in artificial intelligence, machine learning, predictive maintenance, and autonomy. Domain expertise in self-driving cars, robotics, electric powertrains, and unmanned aerial systems. Experience in the entire lifecycle of machine learning and physics-based models, from data analysis to cloud-based training to on-board or cloud deployment.
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Principal ScientistNovity Feb 2020 - PresentSan Carlos, California, UsResearch and development of predictive maintenance algorithms. -
Principal Applied Ai Research ScientistParc, A Xerox Company Feb 2020 - Nov 2022Palo Alto, California, UsResearched and developed health monitoring and predictive maintenance algorithms and software architectures. Contributed to two businesses incubated within PARC within the IoT space. -
Principal Ai ScientistNio Jun 2017 - Feb 2020Jiading, Shanghai, CnPerformed applied research in artificial intelligence, machine learning, and data science, including anomaly detection, predictive diagnostics, system health, and smart vehicle controls. Developed end-to-end machine learning pipelines with big data sets, deployed in the cloud. Built backends and frontends for data analysis. -
Lead, Diagnostics & Prognostics GroupNasa Ames Research Center Sep 2016 - May 2017Moffett Field, California, UsLed technical and research direction of Diagnostics & Prognostics Group, within the Discovery & Systems Health technical area in the Intelligent Systems Division. -
Research Computer ScientistNasa Ames Research Center Jan 2012 - May 2017Moffett Field, California, UsPerformed research in diagnostics and prognostics of engineering systems, with an emphasis on model-based approaches. Application to batteries, robotics, unmanned aerial systems, cryogenic systems, and the National Airspace System. -
Associate ScientistUniversity Of California, Santa Cruz Jun 2008 - Dec 2011Santa Cruz, Ca, UsPerformed research in diagnostics and prognostics of engineering systems, with an emphasis on model-based approaches. -
Graduate Research AssistantVanderbilt University Sep 2004 - May 2008Nashville, Tennessee, UsPerformed research in model-based diagnosis, hybrid systems, and simulation.
Matthew Daigle Skills
Matthew Daigle Education Details
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Vanderbilt UniversityComputer Science -
Vanderbilt UniversityComputer Science -
Rensselaer Polytechnic InstituteComputer & Systems Engineering / Computer Science
Frequently Asked Questions about Matthew Daigle
What company does Matthew Daigle work for?
Matthew Daigle works for Novity
What is Matthew Daigle's role at the current company?
Matthew Daigle's current role is Principal Scientist, Novity.
What is Matthew Daigle's email address?
Matthew Daigle's email address is ma****@****ail.com
What is Matthew Daigle's direct phone number?
Matthew Daigle's direct phone number is +161533*****
What schools did Matthew Daigle attend?
Matthew Daigle attended Vanderbilt University, Vanderbilt University, Rensselaer Polytechnic Institute.
What are some of Matthew Daigle's interests?
Matthew Daigle has interest in Intelligent Systems, Artificial Intelligence, Prognostics, Diagnostics, Autonomy, Simulation, Systems Health Management.
What skills is Matthew Daigle known for?
Matthew Daigle has skills like Matlab, Numerical Simulation, Simulations, Prognostics, Applied Physics, Mathematical Modeling, Numerical Analysis, Programming, Algorithms, Signal Processing, Latex, Systems Engineering.
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