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Victor Veitch is an Assistant Professor in the Department of Statistics at the University of Chicago, and is associated with the Data Science Institute. He completed his Ph.D. in Statistics at the University of Toronto, under the supervision of Daniel Roy. Previously, he was a Distinguished Postdoctoral Researcher in the Department of Statistics at Columbia University. Veitch has worked with notable figures such as David Blei and Peter Orbanz. His expertise encompasses quantum computing, and he has a strong research background in machine learning and causal inference, focusing on the design and evaluation of safe and credible AI systems. His recent projects revolve around network data and the foundational aspects of statistical learning and inference. Veitch has been recognized with several awards, including the Pierre Robillard award for his outstanding thesis in statistics while in Canada.
Department of Philosophy