Dan Burns Email & Phone Number
Who is Dan Burns? Overview
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Dan Burns is listed as Senior Director of Physical AI at Chewy, a company with 12890 employees, based in Greater Boston, United States, United States. AeroLeads shows a matched LinkedIn profile for Dan Burns.
Dan Burns previously worked as Director, Performance Intelligence at Walmart Advanced Systems & Robotics and Senior Principal Machine Learning Scientist, ML Team Lead at Symbotic. Dan Burns holds Doctor Of Philosophy - Phd, Mechanical Engineering from Massachusetts Institute Of Technology.
Email format at Chewy
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About Dan Burns
Senior scientist and group leader experienced with designing, implementing, and validating control and machine learning algorithms for robotic and autonomous systems, HVAC equipment and nanoscale manipulators. Broad knowledge in multi-physical and data-driven modeling, control synthesis and state estimation, statistical analysis, instrumentation and experimental validation. Experienced in maturing research results into production-ready technologies and shipped advanced algorithms in millions of products.Proficient in Python, MATLAB/Simulink, Julia, Modelica and LabVIEW. Experienced with deploying machine learning applications in cloud environments and edge endpoints, and the specification of associated data pipelines. Prolific inventor with an extensive publication record and strong patent portfolio (60+ peer reviewed publications, 20+ patents). Comprehensive background in mathematics, machine learning and control theory including model predictive control, extremum seeking, anomaly detection, optimal and adaptive control, and predictive maintenance systems. Effective project manager with large team leadership and individual mentoring experience. Demonstrated ability to promote technology readiness from concept to production.
Dan Burns's current company
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Dan Burns work experience
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Director, Performance Intelligence
CurrentI lead Performance Intelligence, spanning data engineering, analytics, data science, machine learning and optimization-based algorithm development. Performance Intelligence is responsible for cloud pipelines that aggregate automation telemetry, analyses and reporting of automation system performance, creation of predictive maintenance and operational.
Senior Principal Machine Learning Scientist, Ml Team Lead
Technical director for machine learning developing predictive maintenance technologies for Symbotic's fleet of autonomous mobile robots. Articulated vision for machine learning for robot maintenance, recruited and lead team of scientists developing machine learning models, managed ML application lifecycle from requirements definition to full-scale edge and.
Principal Robotics Research Scientist
Technical lead for advanced development projects related to predictive maintenance and machine learning for robotic applications. Proposed research activities related to robot estimation and model predictive control, developed associated projects, staffed, and supervised technical execution.
Senior Principal Research Scientist
Principal investigator for research projects related to mechatronic systems modeling, model predictive control and optimization. Developed research agenda for model-based design practices. Invented and patented new technologies for model predictive control and realtime optimization of robotic and thermodynamic systems. Matured technology readiness of next.
Principal Research Scientist
Research Scientist
Postdoctoral Associate
Set research agenda for Mechatronics Research Lab Nano-Imaging team, supervised team members.
Doctoral Candidate
Responsibilities: Proposed and developed advanced control techniques for high speed Atomic Force Microscopes to enable sensitive imaging of biological materials. Wrote multiple successful proposals and managed associated research programs.Accomplishments* Designed and fabricated mechanisms for a novel high speed atomic force microscope (AFM). Modeled.
Engineering Intern
Performed trade study of an on-orbit telescope investigating the use of the telescope's main scientific observation package into system's extended Kalman filter for precision attitude control.
Design Engineer
Developed new instrumentation product for long-term monitoring of environmental and vibration conditions on revenue flights. Responsibilities * Designed electrical schematics and circuit board layouts for aircraft environmental monitor * Developed microcontroller firwmware in assembly language * Performed FAA certification testing, electromagnetic.
Colleagues at Chewy
Other employees you can reach at chewy.com. View company contacts for 12890 employees →
Cj 3
Colleague at Chewy
Phoenix, Arizona, United States, United States
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SN
Sathish Narayanan
Colleague at Chewy
Dallas-Fort Worth Metroplex, United States, United States
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RG
Rebeca Gomez
Colleague at Chewy
Pompano Beach, Florida, United States, United States
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RK
Romy Kelly
Colleague at Chewy
Louisville Metropolitan Area, United States
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LK
Lauren K.
Colleague at Chewy
Austin, Texas, United States, United States
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TS
Tyler Schmelzle
Colleague at Chewy
Miami-Fort Lauderdale Area, United States
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MH
Matthew Hume
Colleague at Chewy
Louisville, Kentucky, United States, United States
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ME
Mohamed Elsharnouby
Colleague at Chewy
Greater Boston, United States, United States
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IY
Ify Yvonne Madu
Colleague at Chewy
Columbus, Ohio, United States, United States
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JC
Janani C.
Colleague at Chewy
United States, United States
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Dan Burns education
Doctor Of Philosophy - Phd, Mechanical Engineering
Master Of Science - Ms, Mechanical Engineering
Bachelor Of Science - Bs, Mechanical Engineering
Frequently asked questions about Dan Burns
Quick answers generated from the profile data available on this page.
What company does Dan Burns work for?
Dan Burns works for Chewy.
What is Dan Burns's role at Chewy?
Dan Burns is listed as Senior Director of Physical AI at Chewy.
Where is Dan Burns based?
Dan Burns is based in Greater Boston, United States, United States while working with Chewy.
What companies has Dan Burns worked for?
Dan Burns has worked for Chewy, Walmart Advanced Systems & Robotics, Symbotic, Irobot, and Mitsubishi Electric Research Labs.
Who are Dan Burns's colleagues at Chewy?
Dan Burns's colleagues at Chewy include Cj 3, Sathish Narayanan, Rebeca Gomez, Romy Kelly, and Lauren K..
How can I contact Dan Burns?
You can use AeroLeads to view verified contact signals for Dan Burns at Chewy, including work email, phone, and LinkedIn data when available.
What schools did Dan Burns attend?
Dan Burns holds Doctor Of Philosophy - Phd, Mechanical Engineering from Massachusetts Institute Of Technology.
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