Contact
4013 Business Instructional Facility
515 Gregory Dr
Champaign, IL 61820
Listings
Educational Background
- Ph.D., Algorithms, Combinatorics, and Optimization, Tepper School of Business, Carnegie Mellon University, 2026
- M.S., Operations Research, Fu Foundation School of Engineering and Applied Science, Columbia University, 2021
- B.S., Mathematics and Economics, Morrissey College of Arts and Sciences, Boston College, 2020
Positions Held
- Assistant Professor of Operations Management, Information Systems, Operations, Supply Chain, and Analytics (IOSA), Gies College of Business, University of Illinois Urbana-Champaign, 2026 to present
Recent Publications
Honors and Awards
- Finalist (winner TBD), INFORMS Service Science Best Student Paper Award Competition, INFORMS Service Science Section, 2026
- Finalist, INFORMS Data Mining and Decision Analytics Best Paper Competition, INFORMS Data Mining Society, 2025
- GenAI Fellowship, Carnegie Mellon University Center for Intelligent Business, 2024
- Egon Balas Award for Best Student Paper in Operations Research/Algorithms, Combinatorics, and Optimization, Tepper School of Business, Carnegie Mellon University, 2023
Service
- Reviewer, ACM Conference on Economics and Computation (EC), 2026 to present
- Reviewer, ACM-SIAM Symposium on Discrete Algorithms (SODA), 2026 to present
- Reviewer, Conference on Neural Information Processing Systems (NeurIPS), 2026 to present
- Reviewer, IEEE Symposium on Foundations of Computer Science (FOCS), 2026 to present
- Reviewer, Operations Research Letters, 2026 to present
- Reviewer, Management Science, 2026 to present
- Session Chair, INFORMS MSOM Conference, 2026
- Session Chair, INFORMS Optimization Society Conference, 2026
- Program Committee Member, INFORMS Workshop on Data Science, 2024-2026
- Speakers Chair, YinzOR, 2023-2026
- Session Chair, Revenue Management and Pricing Track, POMS Annual Conference, 2025
- Vice President, Carnegie Mellon University INFORMS Student Chapter, 2023-2024
Current Courses
-
Big Data Platforms (BADM 358) Provides students a deep understanding of the fundamentals of big data platforms and data engineering, data analytics and algorithms for analytical use cases. Experimenting end to end pipelines on cloud platforms: data collection to deployment
-
Big Data Infrastructures (BADM 558) Provides students a thorough understanding of the fundamentals of big data platforms and technologies, data engineering, data analytics and algorithms for both operational and analytical use cases. Experimenting end to end pipelines on cloud platforms from data collection to presenting data driven insights for a nontechnical audience. Students will have the opportunity to understand both relational, analytical databases and NoSQL databases on the cloud as well as on premise from real-life datasets while leveraging programmatic or configuration driven data pipelines.
Contact
4013 Business Instructional Facility
515 Gregory Dr
Champaign, IL 61820



