Skip to content
You must be logged in to sponsor alcantarar

Become a sponsor to Ryan Alcantara

@alcantarar

Ryan Alcantara

alcantarar
Stanford, CA

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.

@alcantarar

Let's start small. My goal is to have 1 sponsor. Knowing someone out there wants to sponsor my research software endeavors would be really neat.

Featured work

  1. alcantarar/dryft

    Correcting drift in ground reaction force data during treadmill running

    Python 13
  2. alcantarar/ASB_Tutorial

    Repository for 2020 American Society of Biomechanics Tutorial

    R 12
  3. R 1

Learn more about sponsoring developers and organizations.

Report abuse

0% towards 1 monthly sponsor goal

Be the first to sponsor this goal!

Select a tier

$ a month

Choose a custom amount.

$2 a month

Select

Thanks for buying me a taco! 🌮

$5 a month

Select

Cheers! Thanks for the beer! 🍻

$20 a month

Select

You'll help me cover the time it takes to maintain my public projects and spend time developing more open source software! 💻

Here are a few unfinished projects that I would like to further develop and host on GitHub:

  • An RShiny app that will calculate peak vertical GRF, contact time, and vertical impulse from uploaded sacral accelerometer data (based on one of my research manuscripts)
  • A MATLAB GUI that temporally synchronizes accelerometer and instrumented treadmill data
  • A python module for calculating and visualizing kinetic and kinematic data