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Thomas Icard is a Lewis Professor of Philosophy at Stanford University, with a courtesy appointment in the Department of Computer Science. He is affiliated with the Stanford AI Lab, focusing on automated reasoning and symbolic systems. His research interests primarily lie in the intersection of philosophy and machine learning, exploring topics such as causal inference, probabilistic reasoning, and the interpretability of machine learning algorithms. Icard has contributed significantly to the field through his editorial work, including being an editor at Philosophical Logic and Open Mind Publications. He has several notable publications, including his upcoming book 'Resource Rationality' with MIT Press, and has published papers in prominent journals such as Machine Learning Research and Annals of Pure Applied Logic. Icard actively engages in teaching and advising students across various disciplines, particularly in Philosophy and Symbolic Systems, reflecting his interdisciplinary approach in academia. His recent and current Ph.D. students represent a diverse array of interests across philosophy, law, linguistics, and computer science.
Stanford University • Stanford, CA, USA
Professor of Philosophy with a focus on machine learning and automated reasoning.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.