About me





Curriculum Vitae

Daniel Leeds

Associate Professor
Director of Integrative Neuroscience Program
Computer and Information Science Department
Fordham University

ORCID ID: 0000-0001-8039-1088, DBLP ID: 195/1823, Google Scholar ID: RwGvAzIAAAAJ


308A John Mulcahy Hall
Phone: 718-817-5196


I am on faculty fellowship for the fall 2022 semester, focusing on my research in computer vision, neuroimaging, and educational data mining.

Research interests

I direct the Computational Neuroscience Laboratory at Fordham, powered by talented undergraduate and graduate students in Computer Science, Data Science, and Integrative Neuroscience. My research studies the computational principles underlying perception and cognition. I pursue connections between the statistical patterns of the natural world of sights and the resulting representations in the minds of human and animal observers. I also model potential sources of cognitive decline (short- and long-term) — including concussion and aging. Additionally, I investigate factors contributing to underreporting and delayed reporting of concussions. My work draws on theories in computer vision, machine learning, psychology, biology, and statistics, among other areas. I also dedicate significant attention to the development and application of data analysis techniques to gain better understandings of neural (and other biological) data.

I also co-direct the Educational Data Mining Laboratory together with Prof. Gary Weiss. We study the factors affecting student course performance, including prior course backgrounds and instruction styles.