Hi there, I'm Yiwen!
I'm a quantitative researcher with expertise in statistical analysis, research design and data-driven decision making.
I recently received my Ph.D. in cognitive psychology at
Univeristy of Pittsburgh
working with Dr. Ben Rottman.
My research interest centers around human causal learning and decision making.
Before that, I received my B.S in Psychology from Zhejiang University.
I previously interned at Google (2024) and Meta (2022) where I led quantitative UX research projects. I'm passionate about using both quantitative and qualitative methods to explore user perception and behavior, and proficient in communicating complex findings to technical and non-technical audiences.
I'm actively looking for UX Researcher/Data Scientist roles!
Rottman, B. M., & Zhang, Y. (in press). Primacy and Recency over Long Timeframes in Causal Judgments and Memory. Cognitive Research: Principles & Implications.
Zhang, Y. & Rottman, B. M. (2023). Casual Learning with Delays Up to 21 Hours. Psychonomic Bulletin & Review
Zhang, Y. & Rottman, B. M. (2023). Causal Learning with Interrupted Time Series Data. Judgment and Decision Making
Cowan, E. T., Zhang, Y., Rottman, B., & Murty, V. P. (2024). The effects of mnemonic variability and spacing on memory over multiple timescales. Proceedings of the National Academy of Sciences, 121(12), e2311077121.
Zhang, Y. & Rottman, B. M. (2021). Casual Learning with Delays Up to 21 Hours. Proceedings of the 43rd annual conference of the cognitive science society. PDF | Poster
Zhang, Y. & Rottman, B. M. (2021). Casual Learning with Interrupted Time Series. Proceedings of the 43rd annual conference of the cognitive science society. PDF | Poster
Zhang, Y., Yang, Z., Liang, J., Wu, F., Gao, Z. (2018, July). Object-based Attention, not Spatial Attention, is Critical for Encoding Feature Binding in Visual Working Memory. 14th Asia-Pacific Conference on Vision and the 3rd China Vision Science Conference.