Summary
Yi-chia Chen is a quantitative UX researcher and cognitive modeling scientist with eight years of focused research experience and 14 years of quantitative practice converting ambiguous questions into rigorous, actionable experiments. Based in Mountain View and currently at Google, Yi-chia blends statistical and machine learning modeling with web and Python engineering to predict human perception and behavior across images, text, and video at scale. Their work spans large-scale data pipelines (300k+ records), probabilistic and deep learning models that improved action recognition and aesthetic prediction, and development of experiment libraries used globally. At UCLA, Harvard, and Yale they led and mentored large teams, running hundreds of experiments and annotating thousands of participants, demonstrating a rare combination of hands-on coding, experimental design, and pedagogical leadership. As a U.S. permanent resident seeking data science or UX research roles in the Bay Area or remote, they bring both academic rigor and product-minded delivery—often accelerating models and tooling (e.g., speeding visual-generation pipelines) to make research production-ready.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, PSYCHOLOGY, Bachelor of Science - BS, PSYCHOLOGY at National Taiwan University
Doctor of Philosophy - PhD, Cognitive Psychology, Doctor of Philosophy - PhD, Cognitive Psychology at Yale University