Derek Sollberger is a data science educator and lecturer with 9 years of higher education experience, currently teaching at Princeton University since 2024. He holds a BA in Applied Mathematics from UC Berkeley and master’s degrees in Applied Mathematics from Cal State Long Beach and UC Merced, grounding his teaching in strong theoretical and practical foundations. His career spans from high school math tutoring to university instruction, including a long tenure as a Math Lecturer at UC Merced (2011–2023) and roles as Teaching Assistant and Tutor at other campuses. Based in New Jersey, he emphasizes translating complex mathematical concepts into accessible, real-world data science applications for students. His career trajectory—from tutoring to professorship—highlights a deep commitment to mentorship, student success, and building learning experiences that span diverse educational levels.
Contributions:75 pushes, 1 branch in 4 years 8 months
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