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Mareike Dressler is a Senior Lecturer in the School of Mathematics and Statistics at the University of New South Wales, Sydney. She completed her PhD in Mathematics at Goethe University Frankfurt under the supervision of Thorsten Theobald in 2018. Her prior experience includes a postdoctoral research position at the Max Planck Institute for Mathematics in the Sciences in Leipzig, where she was part of the Convexity and Optimization Data Science research group led by Venkat Chandrasekaran. Additionally, she served as an Assistant Professor at the University of California, San Diego, mentoring postdoctoral researchers and contributing to various projects in Computational Algebraic Geometry and Nonlinear Algebra. Her research interests encompass Real Computational Algebraic Geometry, Polynomial Convex Optimization, Matrix and Tensor Computation, and their applications in Data Science and Machine Learning. Mareike actively engages in teaching and supervision, and she is known for her innovative approaches to mathematical research and education.
University of New South Wales • Sydney, Australia
Lecturer in the School of Mathematics and Statistics, focused on research in optimization and data science.
University of California, San Diego • La Jolla, CA, USA
Postdoctoral researcher focusing on Computational Algebraic Geometry.
Brown University ICERM • Providence, RI, USA
Participated in Nonlinear Algebra semester program.
Includes Business Intelligence, Enterprise Systems, and Cybersecurity Management streams.