Campus
- St. George
Fields of Study
- Philosophy of Science
- History of Science
Areas of Interest
history of computing, history of neuroscience, history of physics, philosophy of AI, models in science, integrated history and philosophy of science
Biography
Kye Palider is a PhD student at the IHPST. His research is centered on the history and philosophy of neural networks, especially its intersections with neuroscience and physics. He strives to integrate the historical and philosophical components of his research by drawing philosophical lessons from history and engaging in historical ontology.
Historically, Kye studies several distinct disciplines, geographies and time periods: in chronological order, 19th-century electrobiology and mental philosophy in Britain, turn of the 20th century models of neurons and synapses (international), American biophysics, American cybernetics 1940–1960, and artificial neural networks until the present. Within these cases, Kye only follows the narrow thread of neural networks.
Philosophically, Kye is interested in the philosophy of (modern and historical) AI, models in science (especially neuroscience), connectionism, and a variety of topics in the philosophy of science.
Kye earned an MA in philosophy of science from the Department of Philosophy, University of Toronto, in 2022 and an undergraduate degree in philosophy and mathematics from the University of Toronto, St. George, in 2020. His research is currently supported by an OGS grant.
website: kyepalider.com