Calvin Isch is a PhD candidate at the University of Pennsylvania who applies computational social science and NLP to study how scientific evidence is communicated in media and scholarly discourse. With eight years of experience spanning research, data science internships, and classroom teaching, he blends rigorous text analysis and experimental methods to design interventions that improve public understanding. His background in cognitive science and statistics gives him a strong grounding in human-centered modeling, while his classroom and Teach For America experience sharpen his skills translating complex ideas for diverse audiences. Calvin has contributed to data-driven projects on open-source ecosystems and workforce-education gaps, and continues to explore agent-based and network approaches to complex social systems. Known for combining operational rigor (from farm work to classroom management) with scholarly curiosity, he is committed to open inquiry and strengthening institutions that support informed civic life.
8 years of coding experience
8 years of employment as a software developer
Cognitive Science, Cognitive Science, 4.0, Cognitive Science, Cognitive Science, 4.0 at Indiana University Bloomington
Master's degree, Secondary Mathematics, 4.0, Master's degree, Secondary Mathematics, 4.0 at Relay Graduate School of Education
Doctor of Philosophy - PhD, Communication and Media Studies, Doctor of Philosophy - PhD, Communication and Media Studies at University of Pennsylvania
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Calvin Isch - PHD Student at University of Pennsylvania