Research Scientist
CurrentAutoML Foundation for Ads Ranking and Monetization.Auto-Designing advanced neural networks for Meta Ads using deep learning and optimization theory.
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@microsoft.com
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2 phones found area 510
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LinkedIn matched
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Luc Kien Hang is listed as ML Research Scientist at Meta | Berkeley PhD | Ex-Quant at Meta, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at microsoft.com, phone signal with area code 510, and a matched LinkedIn profile for Luc Kien Hang.
Luc Kien Hang previously worked as Research Scientist at Meta and Senior Applied Scientist at Microsoft. Luc Kien Hang holds Doctor Of Philosophy (Phd), Finance from University Of California, Berkeley, Haas School Of Business.
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I am currently working in an applied machine learning research group at Meta, advancing deep neural networks for Ads recommendation systems. My work involves a deep understanding of optimization theory and neural network architectures to drive innovation in personalized advertising.Previously, at Microsoft, I worked at the intersection of technology and economics, where I revolutionized auction mechanisms, contributing over $100 million in annual recurring revenue for Bing Ads. My experience spans applying machine learning, optimization theory, and forecasting to solve complex business problems. As a full-stack machine learning engineer, I manage the entire lifecycle of ML projects - from ideation, data collection, feature engineering to model training, deployment, monitoring and A/B testing.My background is in econometrics, operations research, and mathematics, with a strong focus on quantitative finance. My PhD dissertation explored the pricing determinants of economic assets such as stocks and studied the frictions under which mispricing occurs.
Listed skills include R, Operations Research, Economics, Eviews, and 19 others.
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Menlo Park, CA, US
AutoML Foundation for Ads Ranking and Monetization.Auto-Designing advanced neural networks for Meta Ads using deep learning and optimization theory.
Redmond, Washington, US
Ads Monetization with Bing Ads.Automating bidding strategies for advertisers using optimization theory and predictive modeling.
Redmond, Washington, US
Ads Monetization with Bing Ads.Improving Mechanism Design and Marketplace Optimization using ML and optimization theory.
Berkeley, CA, US
Taught undergraduate courses (UGBA) in (1) Investment and (2) Macroeconomics, and graduate courses (MFE) in (3) Investment and Derivatives and (4) Empirical Methods in Finance
Redmond, Washington, US
Machine Learning/Natural Language Processing with Microsoft News.Developed a new Interest-Based User Profile Representation with NLP.
Greenwich, Connecticut, US
Quantitative Strategies in Global Stock Selection.Developed a new stock-selection algorithm for long-only equity portfolios.
Rotterdam, Zuid-Holland, NL
Taught undergraduate courses in (1) Macroeconomics, (2) Applied Microeconomics and (3) Finance
Amsterdam, NL, NL
Research on alpha decay, transaction costs, and rebalancing premium for diversified portfolios.
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Luc Kien Hang works for Meta.
Luc Kien Hang is listed as ML Research Scientist at Meta | Berkeley PhD | Ex-Quant at Meta.
AeroLeads has found 2 work email signals at @microsoft.com for Luc Kien Hang at Meta.
AeroLeads has found 2 phone signal(s) with area code 510 for Luc Kien Hang at Meta.
Luc Kien Hang is based in San Francisco Bay Area, United States, United States while working with Meta.
Luc Kien Hang has worked for Meta, Microsoft, University Of California, Berkeley, Haas School Of Business, Aqr Capital Management, and Erasmus University Rotterdam.
You can use AeroLeads to view verified contact signals for Luc Kien Hang at Meta, including work email, phone, and LinkedIn data when available.
Luc Kien Hang holds Doctor Of Philosophy (Phd), Finance from University Of California, Berkeley, Haas School Of Business.
Luc Kien Hang is listed with skills including R, Operations Research, Economics, Eviews, Matlab, Portfolio Management, Financial Econometrics, and Derivatives.
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