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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

Contact

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

Teaching

I am teaching Systems (Computational) Neuroscience (CISC 3250), Machine Learning (CISC 5800), and Neuroscience Capstone Seminar (NEUR 4900) in Spring 2022.

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.