
CFA (level 3 candidate)
Fangbin Lin is a final-year Scientia Ph.D. candidate in accounting at the School of Accounting, Auditing & Taxation, UNSW Sydney. Before joining the program, Fangbin received a Master's degree in business analytics from the National University of Singapore, and a Bachelor’s degree in finance from the Capital University of Economics and Business (Beijing, China). His doctoral research examines the utilization of emerging technologies, including algorithms and Artificial Intelligence (AI), in performance measurement and evaluation, using experimental methods.
Fangbin actively participates in many international accounting research conferences and doctoral consortiums, and has presented his working papers at the 2022 biennial research conference of Monash Forum for Management Accounting (Monforma), the 2022 Accounting & Finance Association of Australia and New Zealand (AFAANZ) annual conference, and the 4th Accounting Workshop on Experiments (AWE). He has also been awarded multiple small project grants (total value: $7800) by the UNSW Business Experimental Research Laboratory (BizLab).
During his candidature, Fangbin has been teaching the integrated first-year courses for the Bachelor of Commerce program at UNSW Business School (as course instructor), and serving as the manager for the UNSW BizLab. Before commencing his doctoral study, Fangbin worked as a data analyst at the global analytics department of Lenovo (Singapore) for three years, a research and consulting intern at Wood Mackenzie, and an auditing intern at KPMG.
High Degree Research (HDR) Small Project Grants, awarded by UNSW BizLab (three grants awarded, total value: $7800)
Scientia Ph.D Scholarship (2018)
Ph.D. Completion Scholarship (2022)
Doctoral dissertation: "Management Control Systems of the Future: Working with Algorithms", supervised by Professor Mandy M. Cheng (Principal Dissertation Advisor) and Professor Kerry A. Humphreys (Joint Dissertation Advisor), and consisting of two studies:
My Teaching