Conferences, Workshops, and Talks
Refereed Presentations
J. Rubin, L. Han, J. Zee. Outcome Prediction using Image Features with Conformal Quantile Regression. Joint Statistical Meetings, Nashville, TN (August 2025, Contributed Oral Talk).
J. Rubin, F. Fan, L. Barisoni, A. R. Janowczyk, J. Zee. Analysis of Correlated Image Features using Scalar-on-matrix Regression. Eastern North American Region International Biometric Society Spring Meeting, New Orleans, LA (March 2025, Contributed Oral Talk).
J. Rubin, F. Fan, L. Barisoni, A. R. Janowczyk, J. Zee. Analysis of Independent and Correlated Imaging Features using Scalar-on-matrix Regression. Joint Statistical Meetings, Portland, OR (August 2024, Contributed Oral Talk).
J. Rubin, F. Fan, L. Barisoni, A. R. Janowczyk, J. Zee. Novel Scalar-on-matrix Regression for Unbalanced Feature Matrices. Eastern North American Region International Biometric Society Spring Meeting, Baltimore, MD (March 2024, Contributed Oral Talk).
J. Rubin, F. Fan, L. Barisoni, A. R. Janowczyk, J. Zee. Novel Scalar-on-matrix Regression for Unbalanced Feature Design Matrices. Joint Statistical Meetings, Toronto, ON (August 2023, Contributed Oral Talk).
J. Rubin, L. Mariani, A. Smith, J. Zee. Ridge regression for functional form Identification of continuous Predictors (RIP). Eastern North American Region International Biometric Society Spring Meeting, Virtual (March 2022, Contributed Oral Talk).
J. Rubin, L. Rennert, M. Edmondson, S. Vandekar, R. Shinohara. Letting the LaxKAT out of the Bag: A Powerful Kernel Test for Neuroimaging Studies. Joint Statistical Meetings, Virtual (August 2021, Contributed Speed Talk).
J. Rubin, L. Rennert, M. Edmondson, S. Vandekar, R. Shinohara. Letting the LaxKAT out of the Bag: Packaging, Simulation, and Neuroimaging Data Analysis for a Powerful Kernel Test. Eastern North American Region International Biometric Society Spring Meeting, Virtual (March 2020, Contributed Oral Talk).
J. Rubin, L. Rennert, M. Edmondson, S. Vandekar, R. Shinohara. Letting the LaxKAT out of the Bag: Packaging, Simulation, and Neuroimaging Data Analysis for a Powerful Kernel Test. Leadership Alliance National Symposium, Hartford, CT (July 2019, Contributed Oral Talk).
J. Rubin, L. Rennert, M. Edmondson, S. Vandekar, R. Shinohara. Letting the LaxKAT out of the Bag: Packaging, Simulation, and Neuroimaging Data Analysis for a Powerful Kernel Test. Leadership Alliance National Symposium, Hartford, CT (July 2018, Contributed Oral Talk).
Refereed Abstracts
E. Sonnenberg, S. Amaral, S. Zhang, J. Rubin, M. Levine, V. Potluri (2025). The Use of Deceased Donor Kidneys Prioritized for Pediatric Candidates and the Implications of the Refit KDPI Policy. The American Journal of Transplantation. 25(8) S851-S852.
P. Reese, S. Ratcliffe, A. Gasparini, V. Potluri, P. Abt, E. Vail, C. Parikh, M. Crowther, R. Bloom, M. Harhay, J. Rubin, J. Zee, D. Goldberg (2024). Improving the Assessment of Deceased Donor Kidney Quality with Outcome Prediction. American Transplant Congress, Philadelphia, PA.
Refereed Posters
J. Rubin, V. S. Potluri, J. Zee, S. J. Ratcliffe, M. O. Harhay, P. L. Abt, E. A. Vail, C. R. Parikh, R. D. Bloom, A. Gasparini, M. Crowther, D. S. Goldberg, P. P. Reese. Leveraging Machine Learning Methods and Novel Data Sources to Develop Race-Free Algorithms to Predict Deceased Donor Kidney Quality. American Society of Nephrology Kidney Week, Philadelphia, PA (November 2023, Contributed Poster).
J. Rubin, F. Fan, L. Barisoni, A. R. Janowczyk, J. Zee. Novel Scalar-on-matrix Regression for Unbalanced Feature Design Matrices. Statistical Methods in Imaging Conference, Minneapolis, MN (May 2023, Contributed Poster).
J. Rubin, L. Mariani, A. Smith, J. Zee. Assessing the form of predictor-outcome association for machine learning models of Patient Reported Outcomes in Nephrotic Syndrome. American Society of Nephrology Kidney Week, Orlando, FL (November 2022, Contributed Poster).
F. Fan, B. Wang, T. Ozeki, J. Rubin, Y. Chen, J. B. Hodgin, L. H. Mariani, L. B. Holzman, K. Lafata, A. Madabhushi, L. Barisoni, J. Zee, A. Janowczyk. Computationally Derived "Functional" Tubule Density is Prognostic of Outcome in Glomerular Diseases. American Society of Nephrology Kidney Week, Orlando, FL (November 2022, Contributed Poster).
C. Chen, J. Rubin, L. Rennert, M. Edmondson, S. Vandekar, R. Shinohara. LaxKAT: A more powerful method to test for association and localize signal in high-dimensional data. Statistical Methods in Imaging Conference, Nashville, TN (May 2022, Contributed Poster)
J. Rubin, R. Shinohara. Letting the LaxKAT out of the Bag: Packaging, Simulation, and Neuroimaging Data Analysis for a Powerful Kernel Test. Eastern North American Region International Biometric Society Spring Meeting, Philadelphia, PA (March 2019, Contributed Electronic Speed Poster).
J. Rubin, L. Rennert, M. Edmondson, S. Vandekar, R. Shinohara. Letting the LaxKAT out of the Bag: Packaging, Simulation, and Neuroimaging Data Analysis for a Powerful Kernel Test. Undergraduate Research Symposium in the Chemical and Biological Sciences, Baltimore, MD (October 2019, Contributed Poster).
J. Rubin, L. Rennert, M. Edmondson, S. Vandekar, R. Shinohara. Letting the LaxKAT out of the Bag: Packaging, Simulation, and Neuroimaging Data Analysis for a Powerful Kernel Test. Undergraduate Research Symposium in the Chemical and Biological Sciences, Baltimore, MD (October 2018, Contributed Poster).
J. Rubin, J. E. Terrill. An image processing toolbox for CAVE software testing. University of Maryland Alliance for Diversity in Science and Engineering Young Researcher Conference, College Park, MD (September 2017, Contributed Poster).
Non-Refereed Presentations
J. Rubin, F. Fan, L. Barisoni, A. R. Janowczyk, J. Zee. Statistical Methods for Variable Selection and Prediction with Pathomic Features. University of Maryland, Baltimore County Statistics Colloquium, Baltimore, Maryland (May 2025, Oral Talk).
J. Rubin, F. Fan, L. Barisoni, A. R. Janowczyk, J. Zee. Analysis of Independent Imaging Features using Scalar-on-matrix Regression. University of Pennsylvania Graduate Program in Biostatistics Virtual Open House, Virtual (October 2024, Oral Talk).
J. Rubin, F. Fan, L. Barisoni, A. R. Janowczyk, J. Zee. Analysis of Independent and Correlated Imaging Features using Scalar-on-Matrix Regression. University of Pennsylvania Graduate Group in Epidemiology and Biostatistics Summer Undergraduate Internship Program Current Student/Faculty Presentations, Philadelphia, PA (June 2024, Oral Talk).
J. Rubin, F. Fan, L. Barisoni, A. R. Janowczyk, J. Zee. Novel Variable Selection and Prediction Methods for Unbalanced Feature Matrices. Penn-CHOP Kidney Innovation Center Work-in-Progress Seminar, Philadelphia, PA (March 2024, Oral Talk).
J. Rubin, F. Fan, L. Barisoni, A. R. Janowczyk, J. Zee. Novel Scalar-on-matrix Regression for Unbalanced Feature Design Matrices. University of Pennsylvania Graduate Group in Epidemiology and Biostatistics Summer Undergraduate Internship Program Current Student/Faculty Presentations, Philadelphia, PA (June 2023, Oral Talk).
J. Rubin, L. Mariani, A. Smith, J. Zee. Assessing the form of predictor-outcome association for machine learning models of Patient Reported Outcomes in Nephrotic Syndrome. NEPTUNE Steering Committee Meeting, Virtual (September 2022).
J. Rubin, F. Fan, L. Barisoni, A. R. Janowczyk, J. Zee. PCA Structured lasSO (PCASSO). University of Pennsylvania Department of Biostatistics, Epidemiology, & Informatics & Center for Clinical Epidemiology and Biostatistics Research Day, Virtual (April 2022, Oral Talk).
J. Rubin, L. Mariani, A. Smith, J. Zee. Ridge regression for functional form Identification of continuous Predictors (RIP) of Patient-Reported Outcomes. University of Pennsylvania Graduate Group in Epidemiology and Biostatistics Thesis and Biostatistics in Practice Presentations, Philadelphia, PA (April 2022, Oral Talk).
J. Rubin, F. Fan, L. Barisoni, A. R. Janowczyk, J. Zee. PCA Structured lasSO (PCASSO). University of Pennsylvania Graduate Group in Epidemiology and Biostatistics Works-in-Progress Talks, Virtual (March 2022, Oral Talk).
J. Rubin, L. Mariani, A. Smith, J. Zee. Ridge regression for functional form Identification of continuous Predictors (RIP). University of Pennsylvania Graduate Group in Epidemiology and Biostatistics Interview Day, Virtual (February 2022, Oral Talk).
J. Rubin, L. Rennert, M. Edmondson, S. Vandekar, R. Shinohara. Letting the LaxKAT out of the Bag: A Powerful Kernel Test for Neuroimaging Studies. University of Pennsylvania Graduate Group in Epidemiology and Biostatistics First Year Chalk Talks, Virtual (August 2021, Oral Talk).
J. Rubin, L. Rennert, M. Edmondson, S. Vandekar, R. Shinohara. Letting the LaxKAT out of the Bag: Packaging, Simulation, and Neuroimaging Data Analysis for a Powerful Kernel Test. University of Pennsylvania Graduate Group in Epidemiology and Biostatistics First Year Chalk Talks, Virtual (April 2021, Oral Talk).
J. Rubin, I. Barnett, H. Shou, H. Zhu, T. Conway, K. Cain, B. Saelens, K. Glanz, J. Sallis, J. S. Morris. Wait just a 5-minute interval! Finding a near-lossless representation of TEAN accelerometer data with a quantlet basis. University of Pennsylvania Graduate Group in Epidemiology and Biostatistics First Year Chalk Talks, Virtual (January 2021, Oral Talk).
J. Rubin, L. Rennert, M. Edmondson, S. Vandekar, R. Shinohara. Letting the LaxKAT out of the Bag: Packaging, Simulation, and Neuroimaging Data Analysis for a Powerful Kernel Test. University of Maryland, Baltimore County Differential Equations Seminar: Undergraduate Researchers (Senior Thesis Presentations), Virtual (April 2020, Oral Talk).
J. Rubin, L. Rennert, M. Edmondson, S. Vandekar, R. Shinohara. Letting the LaxKAT out of the Bag: Packaging, Simulation, and Neuroimaging Data Analysis for a Powerful Kernel Test. University of Maryland, Baltimore County Undergraduate Research and Creative Achievement Day, Virtual (April 2020, Oral Talk).
J. Rubin, L. Rennert, M. Edmondson, S. Vandekar, R. Shinohara. Letting the LaxKAT out of the Bag: Packaging, Simulation, and Neuroimaging Data Analysis for a Powerful Kernel Test. University of Maryland, Baltimore County Undergraduate Research and Creative Achievement Day, Baltimore, MD (April 2019, Oral Talk).
J. Rubin, J. E. Terrill. An image processing toolbox for CAVE software testing. National Institute of Standards and Technology Summer Undergraduate Research Fellowship Colloquium, Gaithersburg, MD (July 2017, Oral Talk).
Non-Refereed Posters
J. Rubin, V. S. Potluri, J. Zee, S. J. Ratcliffe, M. O. Harhay, P. L. Abt, E. A. Vail, C. R. Parikh, R. D. Bloom, A. Gasparini, M. Crowther, D. S. Goldberg, P. P. Reese. Leveraging Machine Learning Methods and Novel Data Sources to Develop Race-Free Algorithms to Predict Deceased Donor Kidney Quality. University of Pennsylvania Department of Medicine Research Day, Philadelphia, PA (June 2023, Poster).
J. Rubin, L. Rennert, M. Edmondson, S. Vandekar, R. Shinohara. Letting the LaxKAT out of the Bag: Packaging, Simulation, and Neuroimaging Data Analysis for a Powerful Kernel Test. University of Pennsylvania Summer Undergraduate Internship Program Research Symposium, Philadelphia, PA (August 2019, Poster).
J. Rubin, L. Rennert, M. Edmondson, S. Vandekar, R. Shinohara. Letting the LaxKAT out of the Bag: Packaging, Simulation, and Neuroimaging Data Analysis for a Powerful Kernel Test. University of Pennsylvania Summer Undergraduate Internship Program Research Symposium, Philadelphia, PA (August 2018, Poster).
J. Rubin, E. L. Shirley, Z. H. Levine. Using Fast Fourier Transform Techniques and Debye's Asymptotic Expansion to Accelerate Diffraction Calculations for Cylindrically Symmetrical Systems. National Institute of Standards and Technology Summer High School Intern Program Poster Session, Gaithersburg, MD (August 2015, Poster).