At ABLE, I supported research focused on empowering neurodivergent individuals by analyzing participants' behaviors in workshop settings. I reviewed and coded video data, identifying patterns aligned with the 16 Habits of Mind, and maintained structured observation logs to support qualitative analysis.

I led the initiative to integrate Python into our research process, using tools like pandas and matplotlib to automate data handling and develop clear visualizations. This allowed us to surface trends in participation engagement and begin quantifying behavioral observations. My contributions helped transition our analysis from purely qualitative to a mixed-methods approach, enabling deeper insights and more impactful presentations of our findings.