Summary
Derek Sollberger is a data science educator with nine years of teaching-focused experience and a strong foundation in applied mathematics, currently lecturing at Princeton University. He spent over a decade at UC Merced teaching and supporting calculus and mathematics courses, developing exam materials and hands-on discussion sessions that improved student outcomes. Derek’s background ranges from running intensive summer courses that prepared students for university admission to leading modeling and algebra classes for non-majors, showing an ability to make quantitative concepts accessible to diverse learners. Based in New Jersey, he blends classroom pedagogy with practical problem-solving skills honed through tutoring and administrative roles, and he brings a patient, worksheet-driven approach to complex topics that helps students bridge theory and application.
9 years of coding experience
1 year of employment as a software developer
BA, Applied Mathematics, BA, Applied Mathematics at University of California, Berkeley
Master's Degree, Applied Mathematics, Master's Degree, Applied Mathematics at UC Merced
Master's degree, applied mathematics, Master's degree, applied mathematics at Cal State
North High School
BA, Applied mathematics, BA, Applied mathematics at UC Berkeley
Spanish