Joel Goh

Joel is an Associate Professor in the Department of Analytics and Operations. His research interests are in the domains of Healthcare Analytics and Supply Chain Management. In the first domain, he is interested in understanding how mathematical models can be applied to real-world problems in healthcare in order to inform, improve, and enhance medical decision-making and health policy. In the second domain, he is interested in understanding how new business models, enabled by digital technology, can be harnessed to unlock hidden efficiencies in supply chains. He also has methodological interests in the optimization theory. He is the co-creator of Robust Optimization Made Easy (ROME), a software package for modeling robust optimization problems.

He received his PhD in business administration from Stanford GSB. Prior to joining NUS, he was on the faculty at Harvard Business School as an assistant professor of business administration.

Recognition & Awards

• Early Career Research Excellence Award - 2020
• Teaching Excellence Award, NUS Business School - 2020
• Poets & Quants - Best 40 under 40 Professors - 2020
• 3rd Place, Junior Faculty Interest Group Best Paper Competition, INFORMS - 2019
• Finalist, 2019 Pierskalla Award, Health Applications Society, INFORMS - 2019
• Teaching Excellence Award, NUS Business School - 2018
• Finalist, 2014 Student Paper Competition, POMS College of Supply Chain Management - 2014
• Finalist, George E. Nicholson Student Paper Competition, INFORMS - 2014
• Winner, Pierskalla Award, Health Applications Society, INFORMS - 2014

Educational Qualifications

• Ph.D., Business Administration, Stanford University, Graduate School of Business
• MSc, Electrical Engineering, Stanford University, USA
• BSc, Electrical Engineering, Stanford University, USA

Academic Experience

• Associate Professor , Department of Analytics and Operations, NUS, 2020 - current
• President's Assistant Professor, NUS Business School, 2017 - 2020
• Assistant Professor, Harvard Business School, 2014 - 2017