Distinguished Paper Award recognizing three of the best papers presented at IJCAI for the paper “Online Combinatorial Optimization with Group Fairness Constraints,” 2024.
MIT-IBM Watson AI Lab grant, ($170k), Sept. 2024 - Sept. 2025
The INFORMS Minority Issues Forum (MIF) award (finalist) for the paper “Learning Product Rankings Robust to Fake Users,” 2023.
The Office of Naval Research (ONR) grant: “Fairness on Online Platforms,” Award ID #N00014-23-1-2584, ($500k), 2023-2026.
MIT-IBM Watson AI Lab grant, ($98k), 2022-2023.
Finalist for the INFORMS Social Media Analytics Best Student Paper Award for the paper “Fair Assortment Planning,” entrant: Qinyi Chen, 2022.
Finalist for the INFORMS IBM Best Student Paper Award Competition for the paper “Fair Assortment Planning,” entrant: Qinyi Chen, 2022.
Finalist for the INFORMS Data Mining Competition (General Track) for the paper “Learning Product Rankings Robust to Fake Users,” 2022.
Finalist for the INFORMS Data Mining Competition (General Track) for the paper “Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization,” 2021.
Keynote speaker at the AdKDD workshop, 2021
MIT Research Support Award, ($75k), 2021
Young Investigator Award at the Office of Naval Research (ONR), “Finding a Needle in a Haystack: Utilizing Structures and Predictive Information in Online Optimization,” Award ID #N00014-21-1-2776, ($510k), 2021-2024.
Google Research Award, ($30k), 2020-2021.
MIT-IBM Watson AI Lab grant, ($150k), 2020-2021.
MIT Indonesia seed grant, ($25k), 2020-2021.
MIT-Liberty Mutual Insurance Collaboration (an MIT Quest for Intelligence AI research initiative) grant, “Data-driven Schemes for Enhancing Customers Experience in the Insurance Industry,” ($300k), 2020-2022.
Junior faculty research assistance grant for the proposal, “Online Combinatorial Decision-Making,” 2020.
Finalist for Service Science Best Paper Award for the paper “Dynamic Pricing for Heterogeneous Time-Sensitive Customers,” 2019.
Junior faculty research assistance grant for the proposal, “Data-Driven Auction Design in Online Marketplaces,” 2019.
Google Faculty Research Award, ($50k),2018.
Elwood S. Buffa Doctoral Dissertation Award from the Decision Sciences Institute, 2018.
Finalist for the INFORMS Data Mining Competition for the paper “Boosted Second Price Auctions: Revenue Optimization for Heterogeneous Bidders,” 2018.
Dantzig Dissertation Award, 2017.
Revenue Management and Pricing Dissertation Award, 2017.
USC Ph.D. Achievement Award, USC, 2017.
CAMS Prize, for excellence in research with a substantial mathematical component, USC, 2017.
Finalist for the POMS SCM College Best Student Paper Competition for the paper “Real-time Opti- mization of Personalized Assortments,” 2017.
Finalist for the MSOM Student Paper Competition for the paper “Real-time Optimization of Person- alized Assortments,” 2016.
University Outstanding Teaching Award, USC, 2016.
Marshall Ph.D. Teaching Award, USC, 2016. Provost Fellowship, USC, 2011-2013.