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Research
While I respect and appreciate all organs (and have done research across several different ones), I have grown particularly fond of kidneys. Specifically, I enjoy using the following statistical methodologies for the following kidney-related applications:
Application areas
Renal histopathology
Kidney transplant/allograft outcomes
Kidney disease outcomes
Favorite statistical tools
High-dimensional regression
Random forests
Ensemble learning
Variable/feature selection approaches
You could be featured on this page!
The STAtistics for Renal Allograft and PaThology Outcomes Research (STARAPTOR) Lab is actively looking for trainees and collaborators. Please reach out if you are interested in working with us!
Lab membership comes with your own custom Pokémon avatar (see below for Pokémon avatars submitted by trainees or ones I made of collaborators)!
Lab Members/Starlings
Jeremy Rubin, Lab Director and Self-Appointed Pun Expert
Clinical Assistant Professor of Biostatistics, University of Maryland, College Park
Email: jrub@umd.edu
X/Bluesky: @super_jrub
Jeremy Rubin, PhD is a Clinical Assistant Professor of Biostatistics at the University of Maryland, College Park. He received his undergraduate degrees in Statistics and Mathematics from the University of Maryland, Baltimore County before matriculating to the University of Pennsylvania, where he completed his PhD in Biostatistics. Jeremy's main research focuses are the development and application of statistical methods for renal histopathology and kidney transplantation data, but he also previously done research in application areas including computed tomography angiography (CTA) imaging, structural magnetic resonance imaging (MRI), wearable device data, kidney disease (including patient-reported outcomes, autosomal recessive polycystic kidney disease), and inflammatory bowel disease. While Jeremy believes that most problems can be solved with a high-dimensional regression model (especially lasso-based approaches), he also worked with statistical techniques including random forests, survival analysis, mixed models, linear/logistic regression analyses, and conformal prediction. Besides research, Jeremy is also passionate about finding coffee, playing badminton, making puns, as well as watching and performing stand-up comedy!
Huiqian Hu, Badminton Player with Great Taste in Racket Specs
PhD candidate in Molecular Pharmaceutics, University of Utah
Email: huiqian.hu@utah.edu
Huiqian Hu, currently a PhD candidate in Molecular Pharmaceutics at University of Utah, is interested in statistical and machine learning methods for high-dimensional biological data analysis. His research focuses on developing random forest and XGBoost frameworks for predictive modeling in precision medicine, with expertise in multi-omics integration and computational biology. He is excited to collaborate with the STARAPTOR Lab as a trainee under the supervision of Dr. Rubin to explore novel statistical approaches—particularly conformal prediction and high-dimensional regression methods—for improving model reliability in clinical applications.
Connie Gao, The Long-Range Predictor
Medical Student, University of South Florida Morsani College of Medicine
Email: conniegao@usf.edu
Connie Gao, currently a medical student at the University of South Florida Morsani College of Medicine. She got her undergraduate degree in Biomedical Engineering at the University of Michigan and is passionate about advancing the intersection of technology and medicine!
Lylybell Zhou, Acronym and Pun Second-in-Command
Medical Student, University of South Florida Morsani College of Medicine
Email: lylybell@usf.edu
Lylybell is a second-year medical student at the University of South Florida. She graduated from the University of Florida with a degree in Medical Geography. Her research interests are wide-ranging, but she is overall interested in projects bridging her experiences in the basic, translational, and clinical sciences. She is excited to work with the STARAPTOR and CMIL labs this summer (and perhaps beyond)!
Aryan Mishra, The Algorithm Alchemist
PhD Student in Mathematical Statistics, University of Maryland, College Park
Email: amishr17@umd.edu
Collaborators
Jarcy Zee, Assistant Professor of Biostatistics at the University of Pennsylvania (and was my PhD adviser!)
Pinaki Sarder, Associate Professor of AI in the Section of Quantitative Health of the Department of Medicine and Associate Director for Imaging in the Intelligent Critical Care Center at the University of Florida
Anindya S. Paul, Assistant Scientist in the Computational Microscopy Imaging Laboratory and Intelligent Clinical Care Center (IC3) in the Department of Medicine at the University of Florida
Luís Rodrigues, Nephrologist at Centro Hospitalar and Universitário of Coimbra PhD Student
Alumni/Starlings that left the nest
Eshaan Mallick, The Youthful Soccer Spirit
High Schooler at Mission San Jose High School
Email: EshaanMallick2009@gmail.com
Angitha Reji, The Segmentation Specialist
Medical Student, University of Florida Morsani College of Medicine
Email: rejia@ufl.edu
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