Shixiang (Woody) Zhu 祝士祥 [Official Webpage]
I am an Assistant Professor in Heinz College of Information Systems and Public Policy, Carnegie Mellon University. I obtained my Ph.D. in Machine Learning at H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology.
My research bridges machine learning, statistics, and operations research, with a focus on three interconnected domains:
My research bridges machine learning, statistics, and operations research, with a focus on three interconnected domains:
- Human-Centered and AI-Enhanced Decision Making
- Sequential Modeling and Uncertainty Quantification
- High-Stakes Decision Making in Energy Systems
Address 4800 Forbes Ave, Pittsburgh PA 15213
Office Hamburg Hall 2118H
Email shixiangzhu[at]cmu[dot]edu
Phone (412) 268-9083
News
We're hiring a Postdoctoral Researcher with expertise in AI/ML/OR for energy applications. Learn more and apply here. I am actively looking for Ph.D. students with OR/Stats/IE/CS backgrounds and also happy to work with masters/undergraduate students at CMU. Feel free to shoot me an email if you are interested in machine learning, statistics, and operations research in general.
- Dec 17, 2024: receive 2024-2025 Block Center Seed Grant.
- Nov 21, 2024: attend NSF Workshop on Data-driven Modeling and Prediction of Rare and Extreme Events, Chicago, IL.
- Oct 19, 2024: serve as the organizer of the 19th INFORMS Workshop on Data Mining and Decision Analytics, Seattle, WA.
- Oct 10, 2024: selected as 2024 Gen-AI fellows by the Center for Intelligent Business in Tepper.
- Oct, 2024: serve as Area Chair of AISTATS 2024.
- Oct 9, 2024: give an invited talk at Northwestern Kellogg Operations Seminar, Evanston, IL.
- Aug 29, 2024: received NSF funding with Dr. Zhigang Peng for our project "Next Generation Machine Learning Approach to Decode High-Resolution Earthquake Catalogs".
- Aug 23, 2024: give an invited talk at YinzOR.
- Aug 21, 2024: give a seminar talk on "Predictive Modeling and Robust Decision Making for Grid Resilience" at Argonne National Lab, Lemont, IL.
- Jun 16-29, 2024: participate in the IMSI Long Program "The Architecture of Green Energy", Chicago, IL.
- May 8: 2024: attend NSF OSEER Workshop: Operations Engineering for Hazard and Disaster Mitigation, Boston, MA.
- Mar 26, 2024: Aoran received Summer Undergraduate Research Fellowships (SURF).
- Mar 22, 2024: give a talk at 2024 INFORMS Optimization Society Conference, Houston, TX.
- Dec 15, 2023: give a spotlight talk (paper) at 2023 NeurIPS DGM4H workshop, New Orleans, LA.
- Nov 3, 2023: give a talk (paper) at the OM Seminar in Tepper.
- Oct 27, 2023: our paper is accepted as the spotlight (five out of 44 accepted papers) at Deep Generative Models for Health (DGM4H) Workshop NeurIPS 2023.
- Oct 16-18, 2023: chair Community-Committee’s Choice Session "Districting for modern service systems" and present our paper at INFORMS 2023.
- Sep 26, 2023: our paper is selected as the finalist of 2023 QSR Best Student Paper Competition.
- Sep 25, 2023: give a talk (paper) at the SQUALL seminar at CMU.
- Sep 14, 2023: our paper is selected as the Best Applied Paper Finalist for the 18th INFORMS Workshop on Data Mining and Decision Analytics.
- Aug 25-26, 2023: Wenbin (poster) won the first place in the Best Poster Competition for the 2023 YinzOR Student Conference. Congratulations!
- Dec 1-3, 2022: attend NeurIPS 2022 and present our poster at New Orleans, LA.
- Oct 16-19, 2022: serve as Session Chair for ''Interpretable Machine Learning for Social Good'' at INFORMS 2022, Indianapolis, IN.
- Oct 16-19, 2022: present our research on traffic congestion modeling at INFORMS 2022, Indianapolis, IN.
- Oct 16, 2022: our paper is the winner of the Best Applied Paper Competition for the 17th INFORMS Workshop on Data Mining and Decision Analytics and the runner-up of the 2022 INFORMS Poster Competition.
- Oct 15, 2022: our paper is selected as the Best Student Paper Nominee and presented at 2022 INFORMS Workshop on Data Science, Indianapolis, IN.
- Oct 23-26, 2021: present our police redistricting project and our recent paper on COVID-19 modeling at INFORMS 2021, Anaheim, CA.
- Oct 23-26, 2021: serve as Session Chair for "Machine Learning for Spatio-temporal Data Modeling and Analysis." at INFORMS 2021, Anaheim, CA.
- Oct 11, 2021: attend Georgia Statistics Day at Emory University, Atlanta, GA. Present poster. Receive Excellent Poster Award.
- Sep 25, 2021: I was selected to participate in Cornell ORIE Young Researchers Workshop (October 7-9 in Ithaca, NY).
- Sep 23, 2021: our paper is selected as the Best Applied Paper Finalist for the 16th INFORMS Workshop on Data Mining and Decision Analytics.
- Sep 2, 2021: our paper is selected as the finalist of 2021 INFORMS Wagner Prize.
- Aug 14, 2021: attend KDD 2021 Workshop on Data Science for Social Good. Give an oral presentation (paper) virtually.
- Aug 5, 2021: receive George Leadership Development Fellows for year 2021 in recognition of excellence in research in the health systems and analytics area.
- July 24, 2021: attend ICML Time Series Workshop 2021. Give a contributed talk (paper) virtually. Receive Best Paper Award (Honorable Mention).
- Jun 23, 2021: our paper is selected as the semi-finalist of 2021 INFORMS Wagner Prize.
- May 4, 2021: receive ML@GT Fellows for year 2021.
- Apr 6, 2021: my Q&A profile gets featured on meet ML@GT.
- Apr 15, 2021: attend AISTATS 2021. Give an oral presentation (paper) virtually.