Ph.D. Candidate in Vision Science at Northeastern University
Researcher in psychophysical vision science with a background in computer science, focused on color, brightness, and modeling.
I am a vision scientist with over 7 years of experience conducting psychophysical research in color and brightness perception. My current work focuses on suprathreshold perceptual scaling and contrast discrimination across different chromatic directions, aiming to model perceived intensity within cone contrast space. I place a strong emphasis on experimental calibration and display modeling, as I believe that accurate and consistent stimulus control is critical for meaningful results in visual psychophysics.
I hold a Bachelor's degree in Computer Science from Chongqing University, where I developed a solid foundation in algorithms, computer systems, networks, and graphics. These courses nurtured my analytical thinking and problem-solving abilities, and I continue to apply these skills in my research today. I am proficient in several programming languages, including Python, C++, MATLAB, and R, and have experience with experimental software frameworks used in visual perception research.
After completing my undergraduate studies, I transitioned into the field of vision science. I earned a Master’s degree in Vision Science from Brandeis University under the mentorship of Prof. Robert Sekuler’s lab, and am now pursuing my Ph.D. in Prof. Rhea Eskew’s lab at Northeastern University. My doctoral work integrates psychophysical modeling with efficient experimental design and analysis. I am particularly interested in applying my computational background to improve the precision and scalability of behavioral measurements in human vision science.