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Jeremy Rubin

Clinical Assistant Professor

Dr. Jeremy Rubin received bachelor's degrees in Statistics and Mathematics from the University of Maryland, Baltimore County and a PhD in Biostatistics from the University of Pennsylvania. His research group, the STAtistics for Renal Allograft and PaThology Outcomes Research (STARAPTOR) Lab (https://sites.google.com/umd.edu/jeremyrubin/research-areas-and-lab-members), focuses on developing and applying statistical methods for renal histopathology and kidney transplantation data. When he’s not teaching or doing research, you can probably find Dr. Rubin making a pun, having coffee, playing badminton, or occasionally performing stand-up comedy.

Personal Website: https://sites.google.com/umd.edu/jeremyrubin/home

Contact

jrub@umd.edu

Departments/Units

Areas of Interest

Core Faculty

Application: Renal histopathology, kidney transplant/allograft outcomes,
kidney disease outcomes
Methodology: High-dimensional regression, random forests, ensemble
learning, variable selection/feature selection

University of Pennsylvania Philadelphia, PA

  • Ph.D., Biostatistics April 2025
  • M.S., Biostatistics May 2022


University of Maryland, Baltimore County Baltimore, MD

  • B.S., Statistics and Mathematics May 2020
  • F. Fan, Q. Liu, J. Zee, T. Ozeki, D. Demeke, Y. Yang, A. B. Farris, B. Wang, L. Mariani, K. Lafata, J. Rubin, Y. Chen, L. Holzman, J. B. Hodgin, A. Madabhushi, L. Barisoni, A. Jeremy Rubin Page 2 Janowczyk. Clinical Relevance of Computationally Derived Tubular Features: Spatial Relationships and the Development of Tubulointerstitial Scarring in MCD/FSGS (accepted at Kidney International).
  •  J. Rubin, F. Fan, L. Barisoni, A. Janowcyzk, J. Zee (2025). Novel Scalar-on-matrix Regression for Unbalanced Feature Matrices. Statistics in Biosciences; in press.
  • J. W. Song, H. Q. Phi, M. Koneru, J. Rubin, Q. Cao, Y. Sakai, L. Ibrahim, S. Zhou, J. H. Woo, S. E. Kasner, L. Saba, B. K. Cucchiara (2025). Prevalence of High-risk CTA-based Carotid Plaque-RADS Subtypes in Patients with Embolic Stroke of Undetermined Source. Stroke, 56 (3).
  •  Y. Sakai, Q. Cao, J. Rubin, J. Witsch, D. Cohen-Addad, K. Rodrigues, M. Coco-Martín, P. Pasyar, J. Juega, Z. Fan, S. Kasner, B. Cucchiara, J. Song (2023). Imaging Biomarkers and Prevalence of Complex Aortic Plaque in Cryptogenic Stroke: A Systematic Review. Journal of the American Heart Association, 12 (23).
  • Y. Chen, J. Zee, A. Janowczyk, J. Rubin, P. Toro, K. Lafata, L. Mariani, L. Holzman, J. Hodgins, A. Madabhushi, L. Barisoni (2023). Clinical Relevance of Computationally Derived Attributes of Peritubular Capillaries from Kidney Biopsies. Kidney360, 4(5) 648-658.
  • J. Rubin, L. Mariani, A. Smith, J. Zee (2022). Ridge regression for functional form Identification of continuous Predictors of Patient-Reported Outcomes in Glomerular Disease. Glomerular Diseases, 3 47-55.
  • J. Rubin, E. L. Shirley, Z. H. Levine (2018). Acceleration of diffraction calculations in cylindrically symmetrical optics by use of discrete fast Fourier transforms. Applied Optics, 57 778-793.