About Me

Research


My research interests include biomechanics, human performance, data science, machine learning, humanoid simulations, and computer vision.

Hobbies

In my free time I enjoy hanging out with my dog and spending time outdoors.

Recent Highlights

Going the extra mile: deployng your ML model

Model deployment isn't in your day-to-day job description? I wrote a guide to a bare bones approach to getting your first model deployed (for free) with FastAPI, Docker, and Render.

Link to Github

Link to Blog Post

Leave One Subject Out Cross Validation for Machine Learning Models

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.

Link to Project Portfolio

Link to Blog Post

Gait Speed Classification using Inertial Measurement Units and Deep Learning

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.

Link to Project Portfolio

Link to Blog Post

Principal Component Analysis on Time Series Data

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.

Blog Post

March 2023