#project

Using temporal convolutional networks to segment gait cycles and extract clinically meaningful recovery metrics from wearable sensor data.

Developing Corkboard with GDSC McMaster to scrape, aggregate, and discover local concerts across Hamilton.

A physics-informed framework for screening peptide candidates - my most interdisciplinary project to date.

Building a Python package that moves statistical computations onto the GPU using openCL — and why.

Designing a synthetic gene circuit that detects cancer biomarkers in the form of a breathalyser.

Born out of spite, AskJulian taught me to practically apply and deploy machine learning models in the real world.

Competing at the Ontario Engineering Competition after winning 1st at McMaster — predicting pandemic and wildfire outcomes with ML.

DashTab grew to 29,000+ monthly database reads before I had to shut the servers down. Here is what I learned scaling a browser extension.

Presented at the 2024 iBiomed Showcase — a first-year team project that turned into something we were genuinely proud of.

A smart pill dispenser for nursing homes and hospitals