Hi, everyone! My name is He Ren, and very welcome to my personal homepage! I am a Ph.D. student in the Measurement & Statistics program at University of Washington.

I am committed to the development and improvement of quantitative educational measurement methods, with a particular focus on promoting fairness and addressing ethical challenges through interpretable and valid measurements. I am also passionate about integrating AI with psychometric principles to develop transparent, fair, and socially responsible models that bridge the gap between statistics, computer science and social science. As a researcher working at the intersection of these fields, I am grateful for the opportunity to contribute to and strengthen the connections between these disciplines.

My research interests focus on Item Response Theory (MIRT), Cognitive Diagnostic Modeling (CDM), Differential Item Functioning (DIF), Response Time (RT), Large-Scale Assessment (LSA), and the application of machine learning/AI in psychometrics.

I look forward to any potential collaborations. If you are also interested in the methodology or application of quantitative measurement methods, feel free to contact me. Let’s have some fun!

When I’m not working, you’ll likely find me exploring nature on a hiking trail, capturing the world through my camera lens, or enjoying the thrill of water activities—whether snorkeling, kayaking, or simply being near the ocean.