Research Interests: My research goal is to better understand human learning by characterizing the structure of input data in children's early learning environment, the processes and mechanisms through which children learn from this data, and how this learning creates hidden deficits or competencies for later school learning.

Currently I am an assistant researcher in School of Artificial Intelligence at Nanjing University, and I am also a member of LAMDA Group. I obtained my Ph.D. degree from Department of Computer...

Analogical processes in children’s understanding of spatial representations. Are categorical spatial relations encoded by shifting visual attention between objects? The first step to learning place...

2022-2025 (Awarded) NIH Postdoctoral Fellow Department of Psychological and Brain Sciences. Indiana University. Graduate Research Assistant Department of Psychology. Northwestern University. Beijing Linye University, China. B.A. in Psychology.

Lei Yuan is part of Stanford Profiles, official site for faculty, postdocs, students and staff information (Expertise, Bio, Research, Publications, and more). The site facilitates research and collaboration in academic endeavors.

Yuan, Lei Assistant Professor Positions . Assistant Professor, Psychology and Neuroscience; Assistant Professor, Computer Science; Research Areas Child Psychology/Development; Cognitive Development/Processes; Developmental Psychology; Early Childhood Development; Human Development; Mathematics Education; Research; Publications; Teaching ...

Lei Yuan is a professor in the Psychology department at University of Colorado - Boulder - see what their students are saying about them or leave a rating yourself.

Research Interests: My research goal is to better understand human learning by characterizing the structure of input data in children's early learning environment, the processes and mechanisms through which children learn from this data, and how this learning creates hidden deficits or competencies for later school learning.

Her lab combines large-scale cross-sectional and longitudinal studies, training experiments, computational modeling, high-density behavioral data collection (e.g., eye tracking), and translational research in schools. Education: Ph.D., Northwestern University, 2016.