Jie Yang

Jie Yang is an assistant professor in the Web Information Systems (WIS) group at TU Delft. He co-leads the Kappa research line on Crowd Computing and Human-Centered AI at WIS and the TU Delft AI Lab Design@Scale. Previously he was a machine learning scientist at Alexa Shopping, Amazon Research, based in Seattle, and a senior researcher at the eXascale Infolab, University of Fribourg, Switzerland. He received his PhD from TU Delft in 2017, MSc from TU Eindhoven in 2013, and BEng from Zhejiang University in 2011. During his master’s program, he also spent some time at Philips Research.
Jie works on human-in-the-loop approaches for trustworthy machine learning. The underlying assumption is that to create AI that really serves the purpose of people, it is of key importance to involve stakeholders in the design and development of new technologies throughout all stages of the machine learning lifecycle. His research contributes a new set of human-in-the-loop methods and tools for the development and evaluation of, and the interaction with, machine learning systems. With such efforts, his ultimate goal is to transform machine learning into an engineering discipline that gives humans the full control of AI such that it can be reliably and safely used in various contexts.