My research goals are to explore how computer science learning can support physics and astronomy learning. My CV has a list of all public talks, publications, and conference proceedings.
One way to study how learning in physics and astronomy is impacted by computing is to use a computational thinking framework. You can read my current thinking on what that means here.
Since mid-2020, I have created a variety of physics and astronomy coding projects using Google Colab for Python and the STEMcoding platform using p5js. Most of the Python projects are available as a GitHub repository.
- High School Students’ Development and Use of Computational Thinking Practices in a Secondary Physics Course (current candidacy project)
- Analyzing video game dynamics with computation in introductory physics (2021 RET)
- Authentic research to teach computational thinking – Check out the CSTaR Materials Here
- Authentic Astronomical Research as Science Teacher Professional Development
- DIY PPG: Comparison of waveform parameters from open-source vs commercial photoplethysmography (2018 RET)
- Real-time remote photoplethysmography using a webcam and graphical user interface (2019 RET)
Student Research Mentoring
- MIT/Harvard Quantum Computing for Secondary Students
- 2022 – Pilot Initiative at Bellaire High School
- ExMASS (4 teams)
- 2011 – Crater Chains
- 2012 – Lunar Landing Sites
- 2015 – Asteroid Analysis
- 2016 – Asteroid Analysis
- Bellaire Astronomy Research Team (3 teams)
- 2018 – Quasar outflows
- 2019 – Quasar outflows
- 2022 – Spectral Energy Distributions of Quasars
- AP Research 2021 (Carnegie High School student)
- SDSS and Gaia data filtering for quasars
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