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Zhiren Wang is a mathematician with expertise in homogeneous dynamical systems, classification group actions, number theory, and machine learning. He has served as a professor at Johns Hopkins University and has previously held positions at Penn State University and Yale University. Wang completed his Ph.D. at Princeton University under the supervision of Elon Lindenstrauss. His research includes contributions to polynomial Fourier decay, effective equidistribution, and the analysis of Möbius disjointness. He has published numerous articles in prestigious mathematical journals and presented his work at international conferences. Wang's teaching includes courses in topology and machine learning, where he emphasizes the analytical and computational methods involved in these areas of study. Additionally, he has received several awards and grants recognizing his contributions to mathematics, including the Brin Prize and the NSF CAREER Grant.
Johns Hopkins University • Baltimore, MD
Teaching and conducting research in mathematics.
Penn State University • University Park, PA
Conducting research and teaching academic courses.
Penn State University • University Park, PA
Conducted research and taught graduate and undergraduate courses.
Penn State University • University Park, PA
Engaged in teaching and research.
Yale University • New Haven, CT
Assisted in teaching and conducted research.
Department of Pathology - PhD in Pathobiology. GRE is not required.