Doctoral research advised by Dr. Somnath Datta.
Dissertation: Contributions to Biostatistics and Data Science: scRNA-seq Cluster Validation, AMR Prediction, Oral Health Data, and Sentiment Analysis.
Master’s research advised by Dr. Ping Sa.
Thesis: Upper-Sided EWMA-Based Distribution-Specific Tolerance Limits.
Mathematics studies with a minor in physics.
O. Visser and A. Roy
Developing modular graph convolution methods for irregularly observed longitudinal data and studying their theoretical connections to conventional graph convolution.
O. Visser and A. Roy
Investigating generative modeling for irregular longitudinal observations.
O. Visser, S. Levy, B. Dye, S. Zhang, V. Agboli, and S. Datta
Developing weighted GEE methodology and accompanying R software for paired clustered outcomes.
V. Agboli, O. Visser, S. Levy, B. Dye, S. Zhang, and S. Datta
Follow-up research on Pseudo Regression applications.
O. Visser, S. Levy, B. Dye, S. Zhang, V. Agboli, and S. Datta
O. Visser, V. Agboli, and S. Datta
O. Visser, N. Singhal, M. Katta, E. Pinsky, S. Datta, and A. Singhal
O. Visser and S. Datta
O. Visser, N. Singhal, M. Katta, E. Pinsky, S. Datta, and A. Singhal.
O. Visser, V. Agboli, and S. Datta.
O. Visser and S. Datta.
O. Visser and S. Datta. Theory & Foundations of Statistics in the Era of Big Data.
Member and ISMB event staff. Supported scientific sessions, conference technology, video processing, and presenter logistics.
Professional member.
President at the University of Florida Fall 2024 – Fall 2025.
Helped prepare introductory materials for the UF Biostatistics graduate program.
Assisted with formatting and content revisions to the University of Florida Department of Biostatistics student handbook.
Recognized for the oral presentation Antimicrobial Resistance Prediction via Binary Ensemble Classifier and Assessment of Variable Importance.