Hello! I am a Lecturer (equivalent to a US Assistant Professor) in the School of Mathematics and Statistics at the University of Sydney. I received my PhD in Industrial and Systems Engineering from the National University of Singapore, and two bachelor’s degrees in Industrial Engineering and in Computer Science (dual degree) from Shanghai Jiao Tong University.

I am seeking highly self-motivated PhD students and visiting students with strong backgrounds in mathematics and/or programming. If you’re interested, please feel free to reach out with your CV and academic transcript.

Research Interests

My research interests broadly span operations research/management and data science, with a focus on the following areas:

• Data analytics: data-driven decision-making methodologies
• Operations management: healthcare analytics, smart city operations, reliability & anomaly detection
• Applied data science: recurrent event data, lifetime data, time-series data

Selected Awards

• Research
  • First place in the Best Paper Competition in the 2023 INFORMS Conference on Quality, Statistics, and Reliability.
  • First place in the Best Student Paper Competition of the 2023 INFORMS Society on Location Analysis (to the student coauthor Weiliang Liu).
  • Featured Article at the ISE Magazine, 2020.
  • Excellent paper award of the Operations Research Society of China Reliability Chapter 2019 Annual Meeting.
• Data Challenges
  • Runner-up of the 2024 IISE Data Analytics & Information Systems Case Study Competition.
  • Finalist of the 2024 INFORMS Data Mining Society Data Challenge.
  • Third place in the GeoLifeCLEF 2024 competition at the 11th CVPR-FGVC Workshop.
  • First place and a finalist (for two different solutions on a dynamic pricing problem) of the 2023 INFORMS Blue Summit Supplies Data Mining Challenge.
  • First place in the 2022 INFORMS Quality, Statistics, and Reliability Industry Data Challenge Competition.