Hari Sarang Nathan
hnathan@binghamton.eduBiography
Hari Sarang Nathan is a Robert Riley Visiting Assistant Professor in the Department of Mathematics and Statistics at Binghamton University. His research focuses on developing and applying tools in fractal geometry and harmonic analysis in data science, machine learning, and computational learning theory.
Publications
- Fourier minimization and imputation of time series with W. Burstein, A. Iosevich, and A. Mayeli
- The Fourier Ratio: A Unifying Measure of Complexity for Recovery, Localization, and Learning with W. Burstein and A. Iosevich
Education
- PhD in Mathematics, University of Rochester, 2023-2026
- MS in Mathematics, New York University, 2021-2023
- LLM in Chinese Law, Tsinghua University, 2013–2014
- JD, New York University, 2010–2013
- BS in Computer Science, Minor in Applied Math, Cornell University, 2002–2006
Research Interests
- Harmonic analysis
- Fractal geometry
- Data science
- Machine learning
- Computational learning theory