Matthew Daigle Email & Phone Number
@parc.com
3 phones found area 615, 408, and 207
LinkedIn matched
Who is Matthew Daigle? Overview
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Matthew Daigle is listed as Principal Scientist at Novity, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at parc.com, phone signal with area code 615, 408, 207, and a matched LinkedIn profile for Matthew Daigle.
Matthew Daigle previously worked as Principal Applied AI Research Scientist at Parc, A Xerox Company and Principal AI Scientist at Nio. Matthew Daigle holds Ph.D., Computer Science from Vanderbilt University.
Email format at Novity
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AeroLeads found 1 current-domain work email signal for Matthew Daigle. Compare company email patterns before reaching out.
About Matthew Daigle
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.
Listed skills include Matlab, Numerical Simulation, Simulations, Prognostics, and 34 others.
Matthew Daigle's current company
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Matthew Daigle work experience
A career timeline built from the work history available for this profile.
Principal Applied Ai Research Scientist
Researched and developed health monitoring and predictive maintenance algorithms and software architectures. Contributed to two businesses incubated within PARC within the IoT space.
Principal Ai Scientist
Performed 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 Group
Led technical and research direction of Diagnostics & Prognostics Group, within the Discovery & Systems Health technical area in the Intelligent Systems Division.
Research Computer Scientist
Performed 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 Scientist
Performed research in diagnostics and prognostics of engineering systems, with an emphasis on model-based approaches.
Graduate Research Assistant
Performed research in model-based diagnosis, hybrid systems, and simulation.
Matthew Daigle education
Ph.D., Computer Science
M.S., Computer Science
B.S., Computer & Systems Engineering / Computer Science
Frequently asked questions about Matthew Daigle
Quick answers generated from the profile data available on this page.
What company does Matthew Daigle work for?
Matthew Daigle works for Novity.
What is Matthew Daigle's role at Novity?
Matthew Daigle is listed as Principal Scientist at Novity.
What is Matthew Daigle's email address?
AeroLeads has found 1 work email signal at @parc.com for Matthew Daigle at Novity.
What is Matthew Daigle's phone number?
AeroLeads has found 3 phone signal(s) with area code 615, 408, 207 for Matthew Daigle at Novity.
Where is Matthew Daigle based?
Matthew Daigle is based in San Francisco Bay Area, United States, United States while working with Novity.
What companies has Matthew Daigle worked for?
Matthew Daigle has worked for Novity, Parc, A Xerox Company, Nio, Nasa Ames Research Center, and University Of California, Santa Cruz.
How can I contact Matthew Daigle?
You can use AeroLeads to view verified contact signals for Matthew Daigle at Novity, including work email, phone, and LinkedIn data when available.
What schools did Matthew Daigle attend?
Matthew Daigle holds Ph.D., Computer Science from Vanderbilt University.
What skills is Matthew Daigle known for?
Matthew Daigle is listed with skills including Matlab, Numerical Simulation, Simulations, Prognostics, Applied Physics, Mathematical Modeling, Numerical Analysis, and Programming.
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