Nam Ho-Nguyen
Latest news
(March 2024) New preprint on online strategic classification.
(November 2023) New preprint on projection-free bilevel optimization.
I am a Senior Lecturer in the Discipline of Business Analytics at The University of Sydney Business School.
My research focuses on data-driven optimization models and scalable algorithms for decision making problems under uncertainty.
Previously, I was a Postdoctoral Research Associate (from September 2019 to May 2020) at the University of Wisconsin-Madison. I completed my PhD in 2019 at the Tepper School of Business, Carnegie Mellon University.
Research
I employ techniques from large-scale optimization, machine learning and statistics to better understand the challenges and capabilities of decision making models under uncertainty.
I have also worked on applied optimization tools for choice modelling, portfolio selection, electronic trading, and solution design of IT services.
Preprints
Publications
PhD Dissertation
Awards and Honours
The University of Sydney Business School Excellence in Research Award for Early Career Researchers 2022.
INFORMS Optimization Society Young Researchers Prize 2022 (joint with Huck Gutman; citation).
The University of Sydney Business School Freda and Len Lansbury Early-Career Researcher Award 2021.
Gerald L. Thompson Doctoral Dissertation Award in Management Science 2019 (citation).
Honourable Mention in the INFORMS Optimization Society Best Student Paper Prize 2018 (citation).
Teaching
QBUS2310 Management Science, S1 2024, S1 2023, S1 2022
BUSS4932 Advanced Optimization for Business, S1 2024, S1 2022, S1 2021
QBUS6820 Prescriptive Analytics: From Data to Decisions, S1 2023
QBUS6820 Business Risk Management, S2 2021, S2 2020
QBUS1040 Foundations of Business Analytics, S2 2022, S1 2021, S1 2020