Konstantin (Kasey) Genin
- PhD, Carnegie Mellon
- MSc, Carnegie Mellon
- BA, Brown University
Kasey Genin’s research is in the areas of philosophy of science, formal epistemology, machine learning, and philosophy of statistics. His work focuses on the ways in which reliable inferences are made from statistical data, and addresses feasibility contextualism, epistemic justification, Ockham’s razor, and theoretical virtues like simplicity, unity, and testability.
Dr. Genin’s doctoral thesis explored bridging the gap between propositional and statistical information, and the implications for machine learning, statistics, and the sciences.
For more information, pleas visit Dr. Genin’s personal website.
Epistemology, Logic, Philosophy of Science