Biomedical AI Lab

at University of North Texas

We use machine learning to advance medicine, with a history in wearable device analytics to aid clinicians in the treatment of mobility disorders, as well as broadly using AI to improve health outcomes.


Parkinson's Disease

Incomplete spinal cord injury

Transfemoral amputees

Cerebral Palsy



Activity Recognition

Fall Detection and Real-time response

Assessing quality of activities

Posture recognition

Computational neuroscience

ML Techniques

ML predictive and unsupervised models

Deep learning (CNN/RNN, Transformer architectures, autoencoders)

Kubernetes/Docker Orchestration & Parallelisation

Hidden Markov Models

* Formerly the Pervasive and Ambient Computing (PAC) Lab at Loyola University Chicago