Matey Neykov

Matey Neykov is an Assistant Professor in the Department of Statistics and Data Science at Northwestern University. Previously, he was on the faculty at Carnegie Mellon University and held a postdoctoral position at Princeton University under Han Liu. He earned his Ph.D. in Biostatistics from Harvard University, advised by Jun S. Liu and Tianxi Cai, and a B.S. in Applied Mathematics from Sofia University, Bulgaria.

Research Interests: Neykov focuses on high-dimensional nonparametric estimation, variable selection, graph property testing, and statistical applications in medicine such as electronic medical records (EMRs) and personalized medicine. His work bridges theoretical advancements in machine learning and practical medical data analysis.

Education:

• B.S., Applied Mathematics, Sofia University
• Ph.D., Biostatistics, Harvard University (2015)

Professional History:

• Postdoctoral Researcher, Princeton University (Department of Operations Research and Financial Engineering)
• Faculty, Carnegie Mellon University (2017–202X)
• Current Position: Assistant Professor, Northwestern University

No specific scientific awards or grants are explicitly listed in the provided texts. His research emphasizes both foundational statistical theory and medical applications, though no lab affiliations or team details are mentioned beyond his academic roles.