Research
Publications and academic contributions in biostatistics and healthcare analytics
My research spans survival analysis, cancer bioinformatics, and healthcare analytics. I develop statistical and computational methods to extract insights from complex medical data. Currently working under Dr. Farouk Nathoo at UVic on cancer immunotherapy research, while also contributing to clinical prognostic modeling.
Current Research Focus
Computational Modeling of Antibody Diffusion in Tumor Microenvironments
This research program investigates how antibodies produced by B cells diffuse through the complex tumor microenvironment. By developing computational simulations and statistical models, we aim to:
- Identify the sources of antibody production within tumors
- Model the diffusion dynamics of antibodies through cancer tissue
- Determine which cell types are targeted by diffused antibodies
- Provide insights for optimizing immunotherapy treatment strategies
Publications
Prognostic Factors for Mortality in Heart Failure Patients: A Cox Regression Analysis Challenging the Two-Variable Model
Analyzed 299 heart failure patients using Cox proportional hazards regression to challenge the prevailing two-variable prognostic model. Developed a four-variable model (age, ejection fraction, serum creatinine, hypertension) achieving C-index of 0.74, significantly outperforming the literature model (C-index 0.68, p < 0.001). Validated with Random Survival Forest and comprehensive diagnostics.
Identifying the Sources of Antibody in Tumor Microenvironment
This paper develops methods to identify B cell populations responsible for antibody production within the tumor microenvironment, using spatial statistics and cell phenotyping from multiplex immunofluorescence imaging data.
In Preparation • Expected 2025-2026A Computational Model to Simulate Antibody Diffusion
We present a novel computational framework for simulating antibody diffusion through heterogeneous tumor tissue. The model incorporates spatial constraints, tissue permeability variations, and time-dependent dynamics.
In Preparation • Expected 2025-2026Identifying the Targets of Antibody Diffusion
Building on our diffusion models, this paper identifies which cell types and tissue regions are most affected by antibody-mediated immune responses, providing actionable insights for targeted therapy development.
In Preparation • Expected 2025-2026Research Interests
Cancer Bioinformatics
Computational analysis of tumor biology and immune cell interactions.
Survival Analysis
Cox regression, Kaplan-Meier methods, and prognostic modeling for clinical outcomes.
Spatial Statistics
Statistical methods for analyzing spatial patterns in medical imaging.
Machine Learning
ML techniques for diagnosis, prognosis, and treatment optimization.
Academic Background
MSc Statistics
University of Victoria • 2025-2026
Thesis-based master's program focusing on computational statistics and cancer bioinformatics. Research supervised by Dr. Farouk Nathoo.
BSc Computer Science & Statistics
University of Victoria • 2021-2024
Double major with coursework in data mining, Bayesian statistics, machine learning, and applied regression analysis.
Research Collaboration
Interested in collaborating on cancer bioinformatics or healthcare analytics research?