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Curtis Cain is an Associate Professor in the College of Information Sciences and Technology at Penn State University. His research focuses on advancing equity in higher education through data-driven systems and culturally responsive analytics. With a Ph.D. in Information Sciences and Technology from Penn State, Cain's interdisciplinary background combines expertise in information systems, public policy, and education research. He emphasizes the importance of data in identifying and dismantling disparities within educational systems. Cain leads research initiatives that address access and belonging for historically marginalized learners, supported by institutional partnerships and federal initiatives. He has managed multimillion-dollar projects funded by notable organizations like the National Science Foundation and Google, and he is a recipient of the prestigious NSF CAREER award for his work on systemic barriers in computing. Before his tenure at Penn State, he held a faculty position at Howard University and currently directs the Broadening Participation Initiatives for the Computing Research Association, focusing on mentorship and capacity-building efforts in data ethics and community-engaged scholarship.
Penn State University • University Park, PA
Teaching and researching in the College of Information Sciences and Technology, focusing on equity in higher education and data-driven practices.
Howard University • Washington, D.C.
Provided instruction and contributed to research initiatives before transitioning to Penn State.
GRE scores are highly recommended but not strictly required for Applied Linguistics.