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Matey Neykov is an Assistant Professor in the Department of Statistics and Data Science at Northwestern University, where he also serves as the Director of Graduate Studies. Neykov earned his Ph.D. in Biostatistics from Harvard University, where he conducted research under the guidance of Jun S. Liu and Tianxi Cai. His academic journey continued at Carnegie Mellon University prior to joining Northwestern in 2023. Neykov has previous experience as a postdoctoral researcher in the Department of Operations Research and Financial Engineering at Princeton University, working alongside Han Liu. He holds a B.S. degree in Applied Mathematics from Sofia University. His research encompasses a variety of interests within statistics and machine learning, with a particular focus on high-dimensional nonparametric estimation, variable selection, inference, and graph property testing. He is also keenly interested in the statistical applications of these methodologies in medical settings, including electronic medical records and personalized medicine.
Standard PhD requirements for TGS departments including Chemistry, Physics, and Sociology.