Embedded Files
About Me
About Me
I am an incoming Assistant Professor of Operations and Decisions Technologies at the Paul Merage School of Business at the University of California, Irvine. My research focuses on equitable and interpretable data-driven decision-making in the public sector, using econometrics and machine learning to bridge the gap between theory and practice. I am also broadly interested in examining the societal impact of new policies and technologies.
Before joining UC Irvine, I received my Ph.D. in Decisions, Operations & Technology Management (DOTM) from the University of California, Los Angeles, and a B.Sc. in Mathematics and Computer Science from the University of British Columbia.
I’m actively looking to collaborate with faculty and students --- feel free to reach out!
Publications
Publications
Closer to Home: An Structural Estimate-then-Optimize Approach to Improve Access to Healthcare Services with Fernanda Bravo, Ashvin Gandhi, and Elisa F. Long. Management Science (2025+). (Job market paper)
Finalist, INFORMS Pierskalla Best Paper Award, 2024
Accepted to MSOM Healthcare Operations SIG, 2023
Media Coverage: UCLA Anderson Review, National Academies of Sciences, Engineering, and Medicine
10min AI-generated podcast of our work (by NotebookLM)
Working Papers
Working Papers
Predicting Long-Term Opioid Use via Interpretable Machine Learning (2024) with Fernanda Bravo and Elisa F. Long. Under revision.
Teaching Assistant
Teaching Assistant
Ph.D. in Management Science, Anderson School of Management, UCLA
Dynamic Programming (MGMTPHD242, Core course), Spring 2025
Master of Business Administration (MBA), Anderson School of Management, UCLA
Data and Decisions (MGMTEX402, Core course), Fall 2023, Fall 2024
Operations Technology Management (MGMTFE410, Core course), Fall 2020/Fall 2021
Global Supply Chain Management (MGMT240, Core course), Spring 2025
Master of Business Analytics (MSBA), Anderson School of Management, UCLA
Machine Learning for Decision Making (MGMTMSA401, Core course), Fall 2022
Prescriptive Models and Data Analytics (MGMTMSA406, Core course), Winter 2024
Industry Seminar I (MGMTMSA407, Core course), Winter 2024
Industry Seminar II (MGMTMSA413, Core course), Spring 2024
Healthcare Analytics (MGMTMSA432, Elective), Fall 2021/Fall 2022/Fall 2023/Fall 2024
Data Visualization (MGMTMSA435, Elective), Fall 2022/Fall 2024
Master of Business Analytics (MBAN), Sauder School of Business, UBC
Optimal Decision Making I (BAMS 506), Fall 2018
Optimal Decision Making II (BAMS 508), Fall 2018
Decision Analysis (BAMS 517), Fall 2018
Services
Services
Judge for INFORMS Pierskalla Best Paper Award 2025
Reviewer for MSOM conference 2025
Session Chair, DSI Annual Conference 2025
Session Chair, POMS-HK International Conference 2025
Session Chair, INFORMS Healthcare 2023
Awards and Honors
Awards and Honors
Finalist, INFORMS Pierskalla Best Paper Award, 2024
Dissertation Year Fellowship, UCLA, 2024.
Anderson Ph.D. Fellowship, UCLA, 2019-2023.
Easton Center Research Award, UCLA, 2023.
Easton Technology Management Center Grant, UCLA, 2020-2022.
UCLA Anderson DOTM Area Travel Grant, UCLA 2020-2022.
International Student Scholarship, UBC, 2015-2019
Trek Excellence Scholarship, UBC, 2015-2019
Reginald Palliser-Wilson Scholarship, UBC, 2017
Miscellaneous
Miscellaneous
Academic Job Market Advices
Academic Job Market Advices
I read their advice religiously throughout my search and am incredibly grateful for the invaluable guidance they provided: Nikhil Garg, Renyu Zhang, Ian Zhu. I’ve written up my own job market reflections and advice, which I’m happy to share privately if you’re interested!
Useful Resources
Useful Resources
Misc of Misc
Misc of Misc
Outside of academia, I'm a music digger and cinephile.
Google Sites
Report abuse