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Christina Daniel, PhD, is a computational physicist. She earned her doctorate at Georgetown University, where she developed Python-based tools to generate datasets based on multivariable equations. Her research relied heavily on Python’s scientific computing, symbolic math, and data visualization libraries, giving her firsthand experience with the programming language. Before pursuing her PhD, Christina graduated with a degree in Aerospace Engineering from UCLA and worked as a systems engineer, building a strong foundation in problem solving and technical work. During her career, she has programmed in C++, MATLAB, and Python, but she consistently found Python to be the most intuitive programming language.
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