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Research Areas
I have primarily worked in the following application areas:
Biomedical imaging (including histopathology, neuroimaging, and vascular imaging)
Electronic health records (including transplant registry data)
I consider my machine learning specialties to be:
Unsupervised clustering
High-dimensional regression (especially lasso-based approaches)
Random forest
XGBoost
Ensemble learning
Feature/variable selection
Data harmonization
Active and Completed Projects
Check out the projects in progress or completed by my trainees (or Champs as I sometimes call them to keep with the theme of the lab acronym)!
Active Projects
Cluster- and Histologic Object-Aware Pathomic Biomarker Identification for Kidney Function Using Machine Learning (Champ(s): Ketki)
Scalar-on-Tensor Regression with Unbalanced Tensor Predictors (Champ(s): Alec)
Integrating Tubule-Level Procurement Biopsy Pathomics and Clinical Factors for Machine Learning Prediction of Delayed Graft Function (Champ(s): Huiqian)
Scalar-on-matrix Logistic Regression for Unbalanced Feature Matrices (Champ(s): Hedwig)
Adapting Machine Learning Models Using Multisite Histopathology Data for Predicting Kidney Function (Champ(s): Ritesh, Advay, Raymond, Janelle, Siyuan)
Flexible Ensemble Learning-based Classification of Post-Transplant Kidney Function Outcomes (Champ(s): Chris)
A Web-Based Application for Machine Learning Predictions of Kidney Transplant Outcomes (Champ(s): Abby, Emilie)
Completed Projects
A Pathomic-Ensemble Strategy for Exploring Histological Signatures of eGFR Decline in IgAN (Champ(s): Connie, Lylybell, Huiqian)
A Pathomics-Integrated Approach Toward Improved Prediction of Kidney Survivability Up to 5 Years Post-Biopsy in IgA Nephropathy Patients (Champ(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 me or my trainees made of collaborators)!
Lab Members/Champs
The man who depicts himself as riding the Machamp!
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!
The Working Folks!
Abby Sun, She'll be there in a dash(board)!
Research Associate, Institute for Asthma & Allergy
Email: abbyjsun@gmail.com
Abby Sun is currently a Research Associate at the Institute for Asthma & Allergy, where she specializes in flow cytometry and supports clinical and validation studies in immunotherapies and immunological diagnostics. A recent MSPH graduate in Global Disease Epidemiology and Control from Johns Hopkins Bloomberg School of Public Health and an UMD alumni, she is passionate about applying evidence-based and translational approaches to advance clinical health outcomes for underserved and vulnerable populations. Her past research has focused on infectious disease epidemiology, vaccine science, and clinical immunology, including coordinating a respiratory disease surveillance study in rural Zambia and contributing to vaccine coverage and serosurveillance research. She is excited to join the MACHAMP Lab to further explore machine learning and statistical approaches for modeling and improving clinical insights. Outside of academia, Abby enjoys traveling, hiking, and playing Pokémon Go.
Emilie Chang
Recent ScM Graduate in Epidemiology, Johns Hopkins University
Email: ychen750@alumni.jh.edu
Emilie recently completed her ScM in Epidemiology at Johns Hopkins University. Some highlights of her experience include mixed-methods analysis nested in an oncology clinical trial, pharmacovigilance data mining, and linear mixed effects modeling on longitudinal cohort data from the Chronic Kidney Disease in Children (CKiD) study. She is passionate about advancing skills and knowledge in machine learning and its application to healthcare data and outcome prediction. Emilie enjoys practicing the piano, running, and playing Pikmin Bloom during her personal time.
Siyuan Chen
Research Assistant, Arizona State University
Email: flyingricole@gmail.com
Danny Cao
Email: caodanny2000@gmail.com
The Postdocs!
Huiqian Hu, Badminton Player with Great Taste in Racket Specs
Postdoc in Transplant Immunology, Stanford University
Email: huiqian.hu@utah.edu
Huiqian Hu recently received his PhD in Molecular Pharmaceutics at University of Utah and just started his postdoc in transplant immunology at Stanford. He 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 MACHAMP 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.
Ketki Joshi, everyone clusters around to see the great work she's doing!
Postdoc in Statistical Genetics, Cornell University
Email: joshiketki4@gmail.com
Ketki Joshi recently completed her PhD in Cell and Molecular Biology at the University of Texas at Dallas and started a postdoc in Statistical Genetics at Cornell University. Her doctoral work centered on developing multi-omics computational pipelines, including Hi-GREx, a 3D genome-guided framework that integrates Hi-C spatial data to improve gene expression prediction-achieving a 77% accuracy improvement and identifying new Alzheimer's disease–associated genes. She also completed an internship in Oncology R&D Data Science at AstraZeneca, where she developed causal inference pipelines for driver gene identification and validated actionable biomarkers for precision medicine programs. With expertise spanning bulk RNA-seq, statistical genetics, and machine learning, Ketki is excited to bring her computational toolkit to the MACHAMP Lab and explore novel statistical approaches for clinical applications. Outside the lab, she unwinds with Agatha Christie mysteries- because apparently solving the secrets of the genome isn't enough of a puzzle.
The Grad Students!
Jialu Zhou
PhD student in Statistics at The University of Maryland, College Park
Email: jzhou122@umd.edu
Hedwig Nordlinder, If there's a will then there's a theorem for that!
MSc Mathematical Statistics student at Stockholm University
Email: hedwignordlinder@gmail.com
Biostatistical Research Assistant, Karolinska Institute. Voting member Swedish Society of Actuaries. Research interests include high dimensional statistics, Bayesian inference, MCMC, Phylogenetics and generative machine learning models.
The undergrads!
Ritesh Reddy Thipparthi, Don't sleep on his models!
Undergraduate Student in Computer Science, University of Maryland, College Park
Email: rthippar@umd.edu
Ritesh is a junior CS major at UMD with interests in machine learning for biomedical and clinical applications. Before joining the MACHAMP Lab, he built real-time systems for EEG focus tracking and voice-driven systems, which convinced him that nothing is more exciting than a pipeline that actually works. In the lab, he studies pathomic features from donor biopsies to predict kidney transplant outcomes, and hopes his models won’t be as overfit as his sleep schedule. Outside of his work, you can find him at hackathons, experimenting with side projects, or playing soccer.
Advay Monga, Always working in harmony with others!
Undergraduate Student, University of Maryland, College Park
Email: amonga@terpmail.umd.edu
Advay is an undergraduate student at the University of Maryland, College Park. Before joining the lab, he has had some experience in computational biology and has done some personal projects in machine learning. He is interested in and enjoys learning about machine learning and math in applications to immune biology. In his free time, he likes playing badminton or volleyball with friends and trying new foods.
Alec Zhang, he thrives under pressure, even when things get a little tens(or)!
Undergraduate Student in Computer Science, University of Maryland, College Park
Email: azzhang@terpmail.umd.edu
Alec is currently a freshman studying computer science at UMD, with interests in machine learning and its applications. He is interested in applications of machine learning especially in biology and sports injuries. Outside of school, he enjoys playing soccer, trying new food places (and rating them on beli), and exploring new places.
Raymond Chen, A master of his domain!
Undergraduate Student in Computer Science, University of Maryland, College Park
Email: rchen989@terpmail.umd.edu
Raymond is a third-year student studying computer science at the University of Maryland. He is interested in all things ML, but particularly in machine vision and perception. Outside of the lab, you can find him either at the gym, outside skateboarding, or helping out at his family's restaurant! His other fun facts include that he's in a professional technology fraternity (KTP), has a terrible sleep schedule, plays a lot of TFT and League of Legends as well volleyball and badminton recreationally.
Janelle Vo, If there's a difference, she'll find it!
Undergraduate Student in Public Health Science, University of Maryland, College Park
Email: jvo9@terpmail.umd.edu
Janelle is an undergraduate student studying public health at the University of Maryland. She is particularly interested in using her background in biology to analyze and interpret biological data. She aims to create and interpret data visualizations while applying statistical methods, such as hypothesis testing, to support clinical outcomes and build her data analysis skills. In her free time, Janelle enjoys playing Roblox, dabbling in arts and crafts, traveling, and collecting trinkets!
Chris Wu, The Match Point Converter
Undergraduate Student in Computer Science, University of Maryland, College Park
Email: cwu12314@terpmail.umd.edu
Chris Wu is currently an undergraduate studying Computer Science at the University of Maryland - College Park, pursuing a concentration in Machine Learning. He enjoys learning and talking about all things related to software and ML, and you can often find him on a badminton court or on a run in his free time. He is eager to start his work at and contribute to the MACHAMP lab!
Rachel Carreras, she will survive!
Undergraduate Student in Social Data Science (Public Health Track), University of Maryland, College Park
Email: rcarrer1@terpmail.umd.edu
Rachel is an undergraduate student studying data science at the University of Maryland. She is interested in applying her data analysis experience in a public health context. She wants to refine her statistical and machine learning skills in that field. In her free time, she is likely sketching, immersed in a new book, or watching a horror film.
Abhinav Karumudi
Undergraduate Student in Computer Science, University of Maryland, College Park
Email: karumudi@terpmail.umd.edu
Ajay Maloo
Undergraduate Student in Bioengineering, University of Maryland, College Park
Email: ajxym12@terpmail.umd.edu
Collaborators
Ahmed Sultan, Assistant Professor, University of Maryland School of Dentistry, Director of the Division of Artificial Intelligence Research
Rose (Rong) Wang, Associate Professor, Department of Oral and Craniofacial Sciences, University of Missouri-Kansas City
Adarsh Subbaswamy, Assistant Professor of Practice, Sciences, and Health Outcomes Research, University of Maryland School of Pharmacy
Yulin Hswen, Associate Professor, The Artificial Intelligence Interdiscliplinary Institute at Maryland (AIM), College of Computer, Mathematical, and Natural Sciences (CNMS), Department of Epidemiology and Biostatistics, School of Public Health at the University of Maryland
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
Robert Moy, Fellow with the Division of Nephrology at the Children's Hospital of Philadelphia
James E. Wiseman, Assistant Professor of Surgery in the Division of Trauma, Surgical Critical Care, and Acute Care Surgery, University of Maryland School of Medicine
Cher Dallal, Associate Professor of Epidemiology at the University of Maryland School of Public Health, College Park
Michael Tran, University of Maryland School of Public Health, College Park MPH in Epidemiology Graduate and Expert Champ Recruiter
John Wesley Wiggins: University of Maryland School of Public Health, College Park PhD Student in Environmental Health Sciences and Pokémon Enthusiast
Champs who have hung up the gloves/alumni
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 MACHAMP and CMIL labs this summer (and perhaps beyond)!
Aneesh Chepuri, he can't control his excitement, but he can control his false discoveries!
MS graduate in Data Science, University of Maryland, College Park
Email: achepuri@umd.edu
Aneesh will be starting an internship as a Deep Learning Engineer at a biostatistics research organization!
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