Hi there, I’m Bo Lin (林博). I will join the National University of Singapore as an Assistant Professor in June 2026. Before that, I will be a postdoctoral fellow working with Sheng Liu and Alexandre Jacquillat. I obtained my PhD in Operations Research from the University of Toronto, advised by Timothy Chan and Shoshanna Saxe. I also hold a master’s degree from the University of Waterloo and a bachelor’s degree from Tsinghua University.

I am interested in AI for sustainable cities. I develop predictive and prescriptive analytics tools that enable organizations to improve operational efficiency while promoting environmental wellness and the social good. Motivated by real-world challenges, the other line of my research focuses on integrating machine learning and optimization, aiming to improve the efficiency, effectiveness, and applicability of data-driven decision-making tools.

My research has been implemented in several real-world applications, including Toronto’s 2025–2030 bike infrastructure planning. My empirical insights have been widely referenced in policy discussions and main stream media, including at Toronto City Council, the Legislative Assembly of Ontario, CBC News, The Toronto Star, and TechXplore. My research has also been recognized by several awards, including INFORMS TSL Best Student Paper Award, CORS Practice Prize, INFORMS Service Science Best Cluster Paper Finalist, and INFORMS Data Mining Best Theoretical Paper Finalist.

In June-Sep 2023, I interned at Uber as an Applied Scientist, researching online marketplaces and advertising platforms. Here is a Uber Engineering Blog that introduces what I did there. In Jan-Aug 2022, I was a research intern at Esri Canada under the SMART Mobility projects.

I’ll be recruiting PhD students for the December 2025 application cycle. Reach out with your CV and transcript if interested.

Contact

• Dept. of MIE, Faculty of Applied Science & Engineering, University of Toronto
• Email: imbo DOT lin AT mail DOT utoronto DOT ca