Biography
Jiachang is an Assistant Research Professor at the Center for Data Science for Enterprise and Society. His research interests include (1) creating interpretable and trustworthy ML solutions for high stakes decisions making, in domains such as healthcare, criminal justice, and finance; (2) designing efficient discrete and continuous optimization techniques to solve related optimization problems, which are usually nonconvex and have a combinatorial nature; and (3) building open-source and user-friendly software packages for the broad data science community. The long-term goal is to let humans and machines seamlessly collaborate and complement each other. Prior to joining Cornell, Jiachang completed his Ph.D. in Electrical and Computer Engineering at Duke University, advised by Cynthia Rudin.