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Department of History and Philosophy of Science


PhD student

College: Hughes Hall

Supervisor: Marta Halina

My research lies primarily at the intersection philosophy of machine learning/artificial intelligence, and empiricist philosophy of science. I am especially interested in the role of deep neural networks as scientific instruments, their utility as measurement tools (especially in neuroscience), the prospects of generating genuine scientific progress using machine learning, and how best to promote the egalitarian implementation of AI in society. I am also interested in machine learning's role in our epistemic systems, especially with respect to public discourse about science and politics. Tackling these issues leads me to confront fundamental questions concerning non-epistemic values in science, the epistemology of scientific practice, epistemic virtues, pluralism, and pragmatism.