IEOR - Designing a More Efficient World

Posts Tagged ‘data’

Data-driven operations management paper selected as research competition finalist

IEOR assistant professor Zeyu Zheng, joint with Xiaocheng Li, Yufeng Zheng, and Zhenpeng Zhou, have been selected as finalists for the 2018 MSOM Data Driven Research Competition. Xiaocheng and Zeyu will present their paper “Demand Prediction, Predictive Shipping, and Product Allocation for Large-scale E-commerce” at the INFORMS Annual Meeting in Phoenix. The paper can be…

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Grigas to Investigate New Framework For Operations-Driven Machine Learning

IEOR professor Paul Grigas has just been awarded $290,060 by the National Science Foundation to improve operational decision-making by leveraging data and machine learning. Grigas will collaborate with Adam Elamchtoub from Columbia University to advance a new statistical learning framework called Smart “Predict, then Optimize” (SPO) which aims to improve optimization and prediction for better decisions in sectors such as transportation,…

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IEOR alum wins $100k data science competition

Allen Tang (Operations Research & Management Science ’16), along with three other Berkeley students, won a $100,000 prize last week in the Data Open championship, sponsored by the hedge fund Citadel. Tang is currently pursuing a master of science degree at Berkeley in electrical engineering & computer sciences. His teammates were statistics graduate students Sören…

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Burak Kazaz featured in Forbes for work on Wine Futures

IEOR visiting scholar and Syracuse University Professor Burak Kazaz’s research on wine analytics was recently featured in a Forbes. In Kazaz’s paper, Wine Analytics: Fine Wine Pricing and Selection under Weather and Market Uncertainty, he argues that distributors that carefully invest in the wine futures market, “could improve profits as much as 21%.” Most wine distributors today…

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Professor Xin Guo to Publish New Book on Quantitative Trading

Professor Xin Guo to Publish New Book on Quantitative Trading Eugene Pang September 28, 2016 Professor Xin Guo, the Coleman Fung Chair in Financial Modeling at the University of California, Berkeley is releasing a new book titled Quantitative Trading: Algorithms, Analytics, Data, Models, Optimization. Guo wrote the book along with Howard Shek from North Dakota State University, and Tze Leung Lai & Po-Shing…

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