Research
Cross validating machine learning models by leaving out all observations from a single subject. A great approach for small sample sizes and multiple observations per sample. This post explains the approach and how to implement it from scratch in python.
Wearable technology such as inertial measurement units are useful for measuring movement. In this project, I used an open source dataset with signals derived from inertial measurement units to classify walking gait speed with a deep learning model.
Early detection of cardiovascular disease could greatly reduce the probability of mortality. In this project, I explore how deep learning can be used to detect abnormal hearbeat signals.
An application of machine learning methodologies including dimensionality reduction and classification models to analyze the complex behavior of musculoskeletal injuries with a "systems theory" approach.
March 2023