Embedded Files
Research Areas
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
Machine learning including random forests, XGBoost, and ensemble learning
Variable/feature selection approaches
Active and Completed Projects
Check out the projects in progress or completed by my trainees (or Starlings as I sometimes call them to keep with the theme of the lab acronym - Starlings listed in order of contributions to each project)!
Active Projects
Predicting Binary Outcomes of Kidney Function Using Instance-Based Learning of Histologic Object-Level Image Features (Starling(s): Huiqian)
Scalar-on-matrix Logistic Regression for Unbalanced Feature Matrices (Starling(s): Hedwig, Veronika)
Cluster-AwaRe ensemble leArning with diVerse machine leArniNg approaches (CARAVAN) (Starling(s): Veronika, Hedwig)
Creating Interpretable User Interfaces for Machine Learning Predictions of Kidney Function Outcomes with Renal Histopathology Data (Starling(s): Kenny)
Completed Projects
A Pathomic-Ensemble Strategy for Exploring Histological Signatures of eGFR Decline in IgAN (Starling(s): Connie, Lylybell, Huiqian)
A Pathomics-Integrated Approach Toward Improved Prediction of Kidney Survivability Up to 5 Years Post-Biopsy in IgA Nephropathy Patients (Starling(s): Lylybell, Connie)
Please reach out if you are interested in working with us! - you could be featured on this page!
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.
Kenny Akimnuoye, The Dashboard Deputy
CRM Data Specialist, Randstad Digital
Email: kaa154@georgetown.edu
Veronika Post, the Starling with an Ensemble of Ideas!
Graduate Course Development Assistant, Boston College
Email: veronikapost1@gmail.com
Veronika Post, ALM, serves as a Graduate Course Development Assistant at Boston College, where she develops curriculum for the Data Science Master’s program. She loves working with information in almost all its forms and enjoys uncovering patterns, insights, and useful representations. She is passionate about learning and sharing knowledge. While completing her Master’s degree in Software Engineering and a Graduate Certificate in Data Science at Harvard University Extension School, she has been active in the Data Science community as a Teaching Assistant for several DS courses and as a Research Assistant in Harvard labs. She is excited to continue her research journey with fellow Starlings and hopes her computational skills will help make the world a little better.
Hedwig Nordlinder, If there's a will then there's a theorem for that!
MS Student in Mathematical Statistics, Stockholm University
Email: hedwignordlinder@gmail.com
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
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)!
Page updated
Report abuse