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.
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Senior Director Of Physical AiChewyBoston, Ma, Us -
Director, Performance IntelligenceWalmart Advanced Systems & Robotics Mar 2024 - PresentAndover, Massachusetts, UsI 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 recommender systems, and next generation multi-agent path finding and task assignment algorithms for Walmart's fleet of autonomous mobile robots. -
Senior Principal Machine Learning Scientist, Ml Team LeadSymbotic Oct 2020 - Mar 2024Wilmington, Ma, UsTechnical 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 cloud deployments. Developed and patented time series anomaly detectors, remaining life estimators and predictive maintenance recommenders for robots used for automated storage and retrieval of supply chain goods. -
Principal Robotics Research ScientistIrobot Apr 2019 - Aug 2020Bedford, Massachusetts, UsTechnical 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 ScientistMitsubishi Electric Research Labs Oct 2017 - Apr 2019Cambridge, Ma, UsPrincipal 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 generation control algorithms, optimizing energy eciency, and reducing calibration and commissioning effort. Collaborated with development labs and business units to transition technology to product. -
Principal Research ScientistMitsubishi Electric Research Labs Apr 2013 - Sep 2017Cambridge, Ma, Us
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Research ScientistMitsubishi Electric Research Labs Jul 2010 - Mar 2013Cambridge, Ma, Us
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Postdoctoral AssociateMassachusetts Institute Of Technology May 2010 - Aug 2010Cambridge, Ma, UsSet research agenda for Mechatronics Research Lab Nano-Imaging team, supervised team members. -
Doctoral CandidateMassachusetts Institute Of Technology May 2005 - May 2010Cambridge, Ma, UsResponsibilities: 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 dynamics and designed adaptive vibration supressing controls that enabled nanoscale imaging at video rates. * Invented a method to indirectly measure and identify parasitic scanner resonances, and iteratively and adaptively shape command inputs to reduce their influence, leading to an 100x improvement in AFM imaging speed performance. * Characterized dynamic behavior of novel thermally-driven active cantilevers using system identification techniques, and designed and implemented a model-based controller to increase tracking bandwidth to suit high speed atomic force microscopy.
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Engineering InternNasa Goddard Space Flight Center Jan 2003 - Feb 2003Greenbelt, Md, UsPerformed 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 EngineerHoneywell Aerospace Jun 1997 - Aug 2002Charlotte, North Carolina, UsDeveloped 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 emissions and compatibility testing, demonstrated flight worthiness, and installed environmental datalogger on partner airline’s revenue-generating commercial aircraft Accomplishments * Championed new data logging avionics product from concept to production * Acquired key long-term environmental data on revenue flights of commercial aircraft, which demonstrated DO-178 regulations for avionics equipment are not representative of aircraft environmental conditions.
Dan Burns Education Details
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Massachusetts Institute Of TechnologyMechanical Engineering -
Massachusetts Institute Of TechnologyMechanical Engineering
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Arizona State UniversityMechanical Engineering
Frequently Asked Questions about Dan Burns
What company does Dan Burns work for?
Dan Burns works for Chewy
What is Dan Burns's role at the current company?
Dan Burns's current role is Senior Director of Physical AI.
What schools did Dan Burns attend?
Dan Burns attended Massachusetts Institute Of Technology, Massachusetts Institute Of Technology, Arizona State University.
Who are Dan Burns's colleagues?
Dan Burns's colleagues are Avery Tomlinson, Siva Brahmasani, Jorge Hernandez, Romy Kelly, Jorge S. Sanchez, Michael Soderberg, Bre Baker.
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