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Christoph Ortner is a professor in the Department of Mathematics at the University of British Columbia. His research primarily focuses on scientific machine learning, particularly in the context of developing surrogates for atomistic modeling and exploring electronic structure. He has also engaged with complex many-body problems and methods of coarse-graining. His work is characterized by a strong theoretical foundation as well as practical applications, leading to various advancements in mathematical modeling techniques. Ortner's contributions to the field can be found in his publications which detail his innovative approaches and findings. He actively participates in the academic community, contributing to the advancement of knowledge in mathematical sciences and computational techniques.
Offers course-only and thesis routes. Focus areas include philosophy of science, mind, ethics, and Asian philosophy.