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Diyora Salimova is a Junior Professor at the University of Freiburg, specializing in Applied Mathematics. She completed her doctorate at ETH Zurich, focusing on stochastic methods and their applications. Previously, she held lecturer positions at ETH Zurich and was a postdoctoral fellow affiliated with the ETH Foundations Data Science. Salimova's research interests encompass approximation properties of deep neural networks, machine learning, computational stochastics, and stochastic differential equations. She has published numerous papers on topics including numerical analysis and the development of algorithms for stochastic optimization. As an educator, Salimova has taught a variety of courses in mathematics, including seminars on deep learning and numerical approximation of stochastic differential equations.
University of Freiburg • Freiburg im Breisgau, Germany
Junior Professorship focusing on applied mathematics and machine learning.
ETH Zurich • Switzerland
Lecturer in applied mathematics and related fields.
ETH Zurich, D-MATH • Switzerland
Research in data science and applied mathematics under the mentorship of Prof. Dr. Helmut Bölcskei.
Focus on Advanced Quantum Mechanics and experimental/theoretical electives.