Dr. Kilian Weinberger

Biography

Kilian Q. Weinberger is a Professor in the Department of Computer Science at Cornell University. He received his Ph.D. from the University of Pennsylvania in Machine Learning and completed his undergraduate studies in Mathematics and Computing at the University of Oxford. His research is focused on Machine Learning applications, particularly in resource-constrained learning, metric learning, AI Science, computer vision, and autonomous vehicles. Weinberger has received numerous awards, including the Daniel M. Lazar '29 Excellence in Teaching Award and the Ann S. Bowers Teaching and Advising Excellence Award. He has also been recognized as a Fellow of the Association for Computing Machinery and the Association for the Advancement of Artificial Intelligence. His work has been pivotal in exploring topics such as deep learning, Gaussian processes, and efficient inference methods in Gaussian processes. With a strong emphasis on algorithm design, Weinberger has developed methods that integrate resource constraints in learning algorithms, as well as made significant contributions to the field of neural network architectures, demonstrating their effectiveness in reducing redundancy for better performance in various applications. He teaches courses including Machine Learning and Deep Learning at Cornell, and has a strong commitment to mentoring students in their research endeavors.

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Awards