I currently work for the Bay Area Environmental Research Institute (BAERI) as a Research Data Scientist at the NASA Ames Research Center in Moffett Field, California. I am developing machine learning models and am using NASA’s Pleiades supercomputer to analyze terabytes to petabytes worth of satellite data. With improvements in spatial and temporal resolution, Low-Earth Orbit and Geostationary satellites record data at an unprecedented rate. The sheer volume of this data and the speed at which it is being delivered makes it difficult for scientists to analyze and convey their findings efficiently. My goal is to combine the power of machine learning models and supercomputing systems to rapidly investigate, process, and model these enormous datasets to better understand our planet.

I graduated from the University of California, Irvine with my PhD in Physics in June 2023. During my PhD, I worked under the supervision of Professor Aaron Barth and developed custom Python-based software for the purpose of measuring the masses of supermassive black holes from data taken from the Atacama Large Millimeter/submillimeter Array and the Hubble Space Telescope. My dissertation can be read online for free here.

When I’m not doing research, I enjoy creating YouTube videos that involve my experiences in graduate school, showing how to solve physics problems step-by-step, and occasionally comedic physics & astronomy sketches showcasing my “Oscar-worthy” acting skills. I also enjoy playing the piano and guitar.

Contact Info and Links

1. Email: kylekabasares@gmail.com

2. Resume

3. Curriculum Vitae (CV)

4. Google Scholar

5. Data Science Portfolio

6. LinkedIn: Kyle Kabasares

7. YouTube: Kyle Kabasares

8. X: @Academisfit

9. Instagram: @Academisfit