Astronomy PhD for Math, Science, and Machine Learning Tutoring

Mitchell D.

I hold a Ph.D. in Astronomy (2026) and M.S. in Astronomy (2022) from the University of Hawai'i at Mnoa's Institute for Astronomy, plus B.S. degrees in Physics, Computer Science, and Mathematics from the University of Kentucky (2020). My doctoral research applied machine learning and Bayesian statistics to stellar astrophysics, giving me strong subject-matter depth in astronomy, physics, math, and computer science/programming (Python, C/C++, Fortran, among others).

I have taught and mentored continuously since 2017. As a Teaching Assistant at UH Mnoa (2023 - present), I've delivered curriculum to both freshmen and upperclassmen . As Senior Instructor at Berkeley Coding Academy (2022 - present), I taught a Master Class in machine learning for STEM, built original curricula in Python and data science, lectured to groups of 30+, and provided one-on-one mentoring while managing a staff of 7 instructors. I've also co-taught NVIDIA-sponsored Deep Learning and Anomaly Detection workshops, and I mentor students individually including a high school student on a machine learning project that resulted in a paper published in the National High School Journal of Science. For programming students, my approach favors hands-on, project-based learning using real problems and datasets, adapted to each student's level.

My teaching spans classroom, one-on-one, and volunteer settings across a wide age range, delivering material ranging including programming, physics, engineering, statistics, chemistry, math, and astronomy. Through my various roles, I've taught junior high and high school students, undergraduates, and adult learners.