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Konstantin Zuev is a Teaching Professor in the Computing and Mathematical Sciences at the California Institute of Technology (Caltech). He serves as the Undergraduate Option Representative for Information Data Sciences. His academic interests include applied linear algebra, probability models, and statistical inference, which are critical areas in the fields of data sciences and computational mathematics. Over the years, he has taught a variety of courses, each designed to foster robust understanding and practical skills among students in these disciplines. Zuev's teaching includes foundational courses, such as ACM/IDS 104 – Applied Linear Algebra and ACM/EE/IDS 116 – Introduction to Probability Models, as well as advanced topics like IDS/ACM/CS 157 – Statistical Inference. His contributions to the development of the curriculum reflect his commitment to integrating theoretical knowledge with practical application, ensuring that students are well-prepared for careers in data sciences.
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