Advancing excellence through faculty diversity

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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