I am a Data Scientist with a BSc in Behavioural Neuroscience, currently completing my Master of Data Science at the University of British Columbia (Class of 2026).
I specialize in bridging the gap between complex human behavior and scalable data architecture.
Want to know more? Check out my porfolio
Machine Learning & Data Science
Data Engineering, BI Tools & Deployment
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Voxelith — A full-stack, interactive 3D visualization tool for complex neuro-spatial data utilizing stochastic data generation (FastNoise2). Volumetric anatomical matrix powered by the Allen Mouse Brain Atlas with glass-brain views, region highlighting, voxelization, and pathology simulation.

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National Canadian Medical Datathon 2026 — Multimodal pCR prediction for breast cancer (Third Place). End-to-end deep learning pipeline predicting pathologic complete response vs partial response to Neoadjuvant Chemotherapy using clinical data and digital pathology (WSI feature extraction via OpenCV). 78% accuracy, 92% complete-response precision.

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[Survival of the Fittest (Model): Optimizing with Genetic Algorithms](https://farkasvic.quarto.pub/survival-of-the-fittest-(model-optimizing-with-genetic-algorithms/) — Tutorial on evolving hyperparameters using genetic algorithms: crossover, mutation, and fitness functions applied to Random Forest tuning, with a comparison against RandomizedSearchCV.


