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Merve N. Kursav received her Ph.D. degree in Mathematics Education from Michigan State University (MSU). Currently, she is a Research Associate in the Mathematics Department and working in Data Science InFusion into Undergraduate STEM Education Project (DIFUSE)at Dartmouth College. Prior to joining MSU, she attended the University of Georgia as a Fulbright scholar and earned an M.A. degree in Mathematics Education. She has taught mathematics to diverse populations of students, from elementary schoolers to college undergraduates. Her research focuses on the experiences and cognition of mathematics teachers in engaging English Learners in mathematics classrooms. She has spent much of her career in all aspects of K- 16 mathematics and STEM education. She has focused explicitly on statistical research methods and applied her theoretical knowledge in various mathematics and STEM education research projects [Investigating Proportional Relationships from Two Perspectives (InPReP2), Connected Mathematics Project (CMP), Instilling Quantitative and Integrative Reasoning (INQUIRE), and Scholarship Program for Retaining (SPRING)] and manuscripts. She is also engaged in the professional community and service to the field. She is one of the founding members of the Critical Philosophical and Psychoanalytical Institute for Mathematics Education and the Journal for Theoretical and Marginal Mathematics Education. She has also served as an active member in the Diversity, Equity, and Inclusion Advisory committees.
I am a researcher in operator algebras with interests in mathematical physics, quantum topology, quantum information theory, and their applications. I mainly employ tools from subfactor theory, tensor categories, and reproducing kernel function spaces. I completed my PhD in mathematics at Vanderbilt University, advised by Dietmar Bisch where I worked on Hadamard matrices and the standard invariants of the hyperfinte subfactors they generate. Currently, I am currently working with Dimitrios Giannakis on schemes to approximate classical dynamical systems in quantum computers.