Rachel Okonkwo
Applied Physics Researcher · AI STEM Tools Reviewer · Science Communicator
“Physics AI tools have a clarity problem — they either drown students in equations without context, or oversimplify to the point of being useless. My standard for every tool I review is whether a student could read the solution, close their laptop, and then solve the next problem on their own. That’s the only test that matters.”
— Rachel Okonkwo, Physics GPTApplied physics researcher with a passion for making hard science accessible
Rachel Okonkwo is an applied physics researcher, science communicator, and AI STEM tools reviewer with six years of experience spanning academic research, curriculum development, and educational technology evaluation. She holds a Bachelor’s degree in Physics from MIT, where she specialized in computational modeling and spent two years contributing to research in condensed matter physics — giving her both the mathematical foundation and the pedagogical lens needed to evaluate whether an AI physics solver actually produces correct, teachable results.
Before joining Physics GPT, Rachel worked as a science content developer for an online STEM education platform, writing and reviewing explanations for university-level physics topics ranging from classical mechanics to quantum theory. That role required her to develop a precise standard for what “a good explanation” looks like — one that goes beyond numerical accuracy to include conceptual clarity, formula context, and step sequencing that mirrors how physics is actually taught in classrooms.
At Physics GPT, Rachel tests AI physics solvers across all major topic areas — mechanics, thermodynamics, electromagnetism, optics, and modern physics — evaluating solution accuracy, explanation quality, and whether the step-by-step logic is genuinely useful for students preparing for AP Physics, IB Physics, or university-level exams.