Ekaterina Merkurjev
Education:
B.S., University of California, Los Angeles, Applied Mathematics; M.S., University of California, Los Angeles, Applied Mathematics; Ph.D., University of California, Los Angeles, Applied Mathematics
Dissertation:Variational and pde methods for big data analysis, classification and image processing
Thesis Advisor:Andrea Bertozzi, Professor of Mathematics, University of California, Los Angeles
Research Topic:Variational methods for machine learning on graphs
Mentor:Fan Chung Graham, Professor of Mathematics, University of California, San Diego
Current Position:Assistant Professor, Department of Mathematics, Michigan State University
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