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associate professor at TU Delft and lab manager of GENIUS
I'm an Associate Professor in the Web Information Systems (WIS) group at the Department of Software Technology, EEMCS faculty, TU Delft. I study human-centered computing for robust AI, with a focus on language technologies. I also co-lead GENIUS, an ICAI lab (part of the national program LTP ROBUST) dedicated to the development and use of Generative AI. Previously, I was a machine learning scientist at Amazon Research in Seattle. As a computer scientist by training, I'm fascinated by computational means to build intelligence. Practically, I'm interested in building robust intelligence that we can use and rely on in our day-to-day activities. I believe the critical path towards that is including humans in the computational processes grounded in social contexts. With that idea, I study the creation and operationalization of human-centered computing methods that leverage human conceptual and perceptual abilities—both to make machine reasoning interpretable and to align machine behavior with human values. More about me and my work: jie-yang.com
Delft University of Technology
Doctor of Philosophy - PhD, Crowd knowledge creation acceleration
January 1, 2013 – January 1, 2017
Eindhoven University of Technology
Master of Science (Cum Laude), Computer Science, Data Mining
January 1, 2011 – January 1, 2013
Zhejiang University
Bachelor's degree, Computer Science
January 1, 2007 – January 1, 2011
Delft University of Technology
Associate Professor
June 1, 2026 – Present
Delft University of Technology
Lab Manager of GENIUS
November 1, 2023 – Present
Delft University of Technology
Board of Examiners
October 1, 2023 – Present
Delft University of Technology
Tenured Assistant Professor
December 1, 2022 – May 1, 2026
Delft University of Technology
Assistant Professor
July 1, 2020 – December 1, 2022
Amazon
Machine Learning Scientist
March 1, 2019 – July 1, 2020
Greater Seattle Area
eXascale Infolab
Senior Researcher
January 1, 2018 – February 1, 2019
Fribourg, Switzerland
Amazon
Machine Learning Scientist Intern
July 1, 2017 – October 1, 2017
Greater Seattle Area
Philips
Research Intern
February 1, 2013 – August 1, 2013
Brabantine City Row
Neural Networks for Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily academic and research-oriented, with significant time spent at universities. While there is industry experience at Amazon and Philips, the primary focus appears to be on research and teaching. This profile might require adjustment to a fast-paced, product-driven corporate data analyst environment. The target role 'Data Analyst' might be a step down from a 'Machine Learning Scientist' or 'Associate Professor' role, potentially indicating a mismatch in career trajectory or expectations. The lack of specific project details makes it difficult to assess alignment with typical data analyst responsibilities beyond general research.
Soft Skills & Operational Fit
The candidate's academic and research roles suggest strong analytical thinking, problem-solving, and independent work capabilities. Experience in managing a lab and serving on a Board of Examiners indicates organizational skills and a structured approach. However, direct evidence of communication and collaboration in a corporate data analyst setting is not explicitly detailed in the provided experience descriptions.