Computational Biologist | Honours Biomedical Sciences Graduate
I've independently built end-to-end platforms that bridge biomedical research workflows and computation, from clinical variant analysis to drug optimization. My work combines bioinformatics, machine learning, and algorithmic innovation to solve complex problems in the computational side of healthcare. Outside programming I'm either training (Weights / Running / Muay Thai / Boxing), or reading. Actively looking for entry-level bioinformatics, computational biology, or ML roles.
90% ROC-AUC, 89.6% PR-AUC, 82% Accuracy: A gene variant pathogenicity screening platform powered by my custom 500 + feature engineering pipeline, paired with my personal feature space optimization tool DataSift. Includes ReGen, an iterative guided mutation algorithm capable of identifying gene therapy targets.
A drug discovery framework designed for drug-structure screening and lead optimization against user-defined biological targets. Paired with interactive chemical space analysis and various chemical-similarity calculations, aimed at accelerating drug candidate identification and optimization.
A feature space optimization tool for Binary Classifier efficiency optimization. Combining a thorough variance threshold optimizer and a backward-iteration importance-based feature pruner, this module is geared towards high-dimensional data where less noise == more performance.
University of Waterloo