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

Reinforcement Learning for Stable Gait and Navigation with Quadruped Model

I used Unity to build a quadruped model and trained it with reinforcement learning to walk with fast and stable gait. I also trained it to perform target navigation. It uses a central pattern generator with modulation of joint angles via a recurrent neural network.

Link to Github

Link to Blog Post

Sliding Puzzle Game

I built a simple 2D sliding puzzle game in Unity and deployed it to a web application. The goal is to connect the two black dots by sliding tiles adjacent to the empty slot.

Link to Github

Link to Blog Post

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

Dissertation Defense

I successfully defended my dissertation in January 2025. My project explored identifying and classifying patient specific injury mechanisms and factors related to development of patellofemoral pain using unsupervised and supervised machine learning models.

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