Staff Algorithm Engineer At Google Nest
CurrentSoftware engineering lead responsible for embedded machine learning and optimization algorithms on Nest thermostats.
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Eric Burger is listed as Staff Algorithm Engineer at Google Nest at Google, a with 1 employees, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at google.com and a matched LinkedIn profile for Eric Burger.
Eric Burger previously worked as Graduate Student Researcher at Uc Berkeley and Graduate Student Instructor at Uc Berkeley. Eric Burger holds Doctor Of Philosophy (Phd), Systems Engineering Within Civil And Environmental Engineering Department from University Of California, Berkeley.
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I am passionate about creating adaptive and scalable solutions to engineering problems and have a broad technical background with an emphasis on optimization, machine learning, wireless sensor networks, and Internet-based systems. I earned my PhD in Systems Engineering, an interdisciplinary program within Civil/Environmental Engineering, and MS in Computer Science from UC Berkeley. I was a member of the Energy, Controls, and Applications Lab (eCAL) and focused on the development of algorithms for monitoring and controlling energy use in buildings (see Experience and Publications).
Listed skills include Internet Of Things, Python, Arduino, Machine Learning, and 9 others.
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Mountain View, Ca, Us
Software engineering lead responsible for embedded machine learning and optimization algorithms on Nest thermostats.
Berkeley, Ca, Us
Energy, Controls, and Applications Lab (eCAL)• Researched the distributed optimization of thermostatically controlled loads (i.e. air-conditioners, refrigerators, etc.) to perform ancillary power system services such as load/generation following. • Designed and fabricated a prototype thermostat that is capable of recursively learning a model of a home heating system and implementing a predictive control algorithm.• Prototyped a smart refrigerator by modifying a 100W mini-fridge.• Researched the optimal charging/management of a residential PV and battery system. To improve the decision making, developed learning algorithms for short term electricity demand forecasting.• Developed micro computing cluster using 40 BeagleBone Black electronics development boards.• Built e-mobility research platform by equipping an electric scooter with an accelerometer, GPS sensor, shunt resistor, and microcomputer.• Designed and assembled 80-node wireless temperature sensor network for building energy research.• Researched impact of price arbitrage with thermostatically controlled loads on grid frequency.Papers derived from the projects above can be found at http://escholarship.org/uc/search?entity=ecal_rw
Berkeley, Ca, Us
Developed a new undergraduate course, CE186: Design of Cyber Physical Systems which introduces students to Arduino microcontrollers, digital and analog sensors, Python programming, and Google App Engine platform for building distributed engineering systems.
Mountain View, Ca, Us
• Developed an adaptive thermal model for residential HVAC systems.• Implemented a procedure for evaluating the performance of a thermal model over a large population of devices in a parallel computing environment.
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Eric Burger works for Google.
Eric Burger is listed as Staff Algorithm Engineer at Google Nest at Google.
AeroLeads has found 2 work email signals at @google.com for Eric Burger at Google.
Eric Burger is based in San Francisco Bay Area, United States while working with Google.
Eric Burger has worked for Google and Uc Berkeley.
Eric Burger's colleagues at Google include Bun Bun, Omar Torres, Kyle Cooper, Kumar Monu, and Sergio Juarez.
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Eric Burger holds Doctor Of Philosophy (Phd), Systems Engineering Within Civil And Environmental Engineering Department from University Of California, Berkeley.
Eric Burger is listed with skills including Internet Of Things, Python, Arduino, Machine Learning, Data Analysis, Matlab, C++, and Javascript.
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