-
Ruihao Zhu, a recent graduate of MIT's Data Science Lab, was awarded the INFORMS 2022 George B. Dantzig Dissertation Award for his thesis titled, "Data-Driven Operations in Changing Environments."
-
Hanzhang Qin, a recent graduate of the MIT Data Science Lab, was awarded the prestigious Outstanding Doctoral Thesis Award from MIT CSE and MathWorks for his thesis titled, "Stochastic Control Through A Modern Lens: Applications in Supply Chain Analytics and Logistical Systems."
-
Xiao-Yue Gong, an accomplished student and researcher in the MIT Data Science Lab, was recently selected as a 2022-2023 Accenture Fellow. Per the announcement, "The Accenture Fellowship Fund was established in 2020 and is awarded to graduate students with research that has potentially significant implications for industry and technology convergence." Xiao-Yue is being recognized for her "outstanding academic…
-
Interview with Prof. David Simchi-Levi at the 10th IFAC Conference on Manufacturing, Modelling, Management, and Control
-
Companies use Prof. David Simchi-Levi's Risk Exposure Index (REI) research to identify and respond to hidden risks in their supply chains.
-
Prof. David Simchi-Levi recently presented at Rutger's 3rd Online Doctoral Workshop on Supply Chain Analytics.
-
Cecilia Elena Rouse, the Chair of Council of Economic Advisers, part of the Executive Office of the President in the Biden-Harris Administration recently released the 2022 Economic Report of the President. The research from our Data Science Lab (multiple papers) on Time-to-Recover and Time-to-Survive has appeared in this report. This report overviews the nation's economic…
-
The work from our lab, “Calibrating Sales Forecast in a Pandemic Using Competitive Online Non-Parametric Regression,” (SSRN link: https://lnkd.in/dW8NBxXc) in collaboration with AB InBev, recently received 2nd place in INFORMS 2022 Innovative Applications in Analytics Award. This prize promotes the creative combination of analytics techniques in innovative applications to provide novel insights and creates economic…
-
In 2021, Professor Simchi-Levi and researchers in the MIT Data Science Lab collaborated with Accenture and Home Depot to study an inventory placement optimization problem, where demand is sensitive to service response time, under the online retail setting. To predict the sensitivity of demand to response time, the team developed a novel demand prediction and elasticity…
