Phd Candidate
CurrentDeveloping provably-better machine learning methods for real world applications. Advised by John Duchi.
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Gary Cheng is listed as ML PhD candidate @ Stanford EE at Stanford University School of Engineering, based in San Francisco Bay Area, United States, United States. AeroLeads shows phone signal with area code 989 and a matched LinkedIn profile for Gary Cheng.
Gary Cheng previously worked as PhD Candidate at Stanford University School Of Engineering and Research Intern at Max Planck Institute For Intelligent Systems. Gary Cheng holds Doctor Of Philosophy - Phd, Electrical Engineering from Stanford University.
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Focused on accelerating the renewable energy transition. My background is in machine learning, in particular optimization. I'm currently exploring opportunities in applying my skills in climate-tech.Find my publications and a more detailed bio at garycheng.me
Listed skills include Leadership, Public Speaking, Research, Photoshop, and 6 others.
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Stanford, CA, US
Developing provably-better machine learning methods for real world applications. Advised by John Duchi.
Stuttgart, Baden-Württemberg, DE
Studying ways of estimating the effect of recommendation systems have on its users, using ideas from Causal Inference. Advised by Moritz Hardt.
Mountain View, CA, US
Developing methods to scale up sizes of Federated Machine Learning models.
Berkeley, CA, US
Applying optimization techniques to design dataset summarization techniques. Advised by Laurent El Ghaoui.
Berkeley, CA, US
EE126 - Probability and Random Processes (January 2019 - May 2019 & January 2018 - May 2018)Teaching the following topics in section: Markov Chains, Poisson Processes, Entropy, Moment Generating Functions, Maximum Likelihood EstimationCS170 - Algorithms (August 2017 - December 2017)Teaching about the following topics: Dynamic Programming, Linear.
Berkeley, CA, US
Optimizing surgery room scheduling with stochastic gradient descent. Advised by Jean Walrand.
Seattle, WA, US
Full stack developer on the Forecasting team in Supply Chain Optimization, used data analysistechniques to analyze runtime and success rates for the Forecasting Workflow Service PlatformImplemented longest path in a directed graph and other graph algorithms to give insight into the longest running components of forecasting calculations, created new Java.
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Gary Cheng works for Stanford University School of Engineering.
Gary Cheng is listed as ML PhD candidate @ Stanford EE at Stanford University School of Engineering.
AeroLeads has found 2 phone signal(s) with area code 989 for Gary Cheng at Stanford University School of Engineering.
Gary Cheng is based in San Francisco Bay Area, United States, United States while working with Stanford University School of Engineering.
Gary Cheng has worked for Stanford University School Of Engineering, Max Planck Institute For Intelligent Systems, Google, Uc Berkeley Electrical Engineering & Computer Sciences (Eecs), and Amazon.
You can use AeroLeads to view verified contact signals for Gary Cheng at Stanford University School of Engineering, including work email, phone, and LinkedIn data when available.
Gary Cheng holds Doctor Of Philosophy - Phd, Electrical Engineering from Stanford University.
Gary Cheng is listed with skills including Leadership, Public Speaking, Research, Photoshop, Fundraising, University Teaching, Nonprofits, and C.
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