Hi there! 👋

I'm a first-gen PhD student using wearable devices and machine learning to collect high-quality biomechanical data outside the laboratory with low-cost wearable devices. Improving the usefulness of wearable devices will greatly reduce the cost of performing biomechanical research, allowing us to more closely monitor the development of overuse injuries and degenerative diseases like osteoporosis.

I develop research software for my research and try to make projects open source. For example, I developed dryft, a MATLAB and python library that processes ground reaction force data from instrumented treadmills. Additionally, I'm an advocate for better software development practices in research, leading multiple workshops introducing GitHub and version control to academic researchers. You can find more about me and my projects at ryan-alcantara.com.