JACOB BIEN was named a Fellow of the Institute of Mathematical Statistics (IMS). He received the prestigious honor for methodological contributions to the field of statistics that emphasize interpretability, computational efficiency, and relevance to scientific disciplines. He also has a paper forthcoming in the Journal of the American Statistical Association titled, “Generalized Data Thinning Using Sufficient Statistics.”
JACOB BIEN (panelist) and GOURAB MUKHERJEE (moderator) will participate in a panel discussion on “Generative AI in Statistics and Data Science Classrooms” organized by the American Statistical Association Section for Statistics and Data Science Education; Bien will share their experience using Gen AI in GSBA 524: Managerial Statistics, an MBA class they co-taught in Fall 2023.
RICHARD CHASE received the 2024 Best Paper Award from California Management Review for his article, “Optimizing Customer Involvement: How Close Should You Be to Your Customers?”
DAS DASGUPTA accepted a new role as Chief Data Analytics Officer (CDAO) at Starbucks and will continue teaching for Marshall.
ANDREW DAW has a paper forthcoming in Operations Research titled, “Establishing Convergence of Infinite-Server Queues with Batch Arrivals to Shot-Noise Processes.”
YINGYING FAN will deliver a keynote lecture at the 2024 International Symposium of Quantitative Economics, held in Shanghai this July.
ADEL JAVANMARD has two papers forthcoming at conferences: “PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses” was accepted at the International Conference on Machine Learning (ICML) 2024, and “Optimistic Rates for Learning from Label Proportions” was accepted by the Conference on Learning Theory (COLT) 2024.
MLADEN KOLAR has a paper accepted by the International Conference on Machine Learning (ICML) titled, “Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning.”
GOURAB MUKHERJEE was named one of Poets & Quants’ Best 40-Under-40 MBA Professors in 2024.
MATTEO SESIA and YANFEI ZHOU, PhD have a paper accepted by the International Conference on Machine Learning (ICML), co-authored with Lars Lindemann from the USC Department of Computer Science, titled “Conformalized Adaptive Forecasting of Heterogeneous Trajectories.”
SOMYA SINGHVI was named a recipient of the 2023 Manufacturing & Service Operations Management (M&SOM) Meritorious Service Award, recognizing a reviewer's outstanding service provided to support the journal’s scholarly mission.
ANGELA ZHOU received the inaugural Marshall Office of Diversity, Equity, and Inclusion (ODEI) mini grant on Teaching Innovation.