Frederick Campbell: Collaboration is Key for Data Science Research

Frederick Campbell

Ph.D. Student, Statistics

Frederick Campbell chose Rice’s cutting-edge statistics program because he values the university’s ongoing commitment to advancing data science.

The volume of opportunities to work with peers, both on campus and in the Texas Medical Center, in fields that include computational and applied mathematics, computer science, electrical engineering and other areas of study has reaffirmed this choice. “Data science within itself is an interdisciplinary field that uses different scientific processes and systems to extract knowledge from data, so partnerships are key to reaching new insights,” Fred says. “The degree of collaboration at Rice is next-level.”

“The value that Rice places on the cross-pollination of ideas is unlike anything I have experienced.” — Frederick Campbell

Fred, who works on statistical machine learning methodology, an exciting field within data science that has applications ranging from genomics to neuroimaging, knows he can count on highly collaborative colleagues, many of whom reside in Duncan Hall, to help him solve tough problems. “Open communication is commonplace across campus,” says the doctoral candidate. “These relationships have been essential for the success of my research.”

Though the bulk of his time is spent working with large, complicated multivariate datasets, Fred notes that his unconventional experience at Rice has broadened his expertise. “Since coming here I’ve learned more about the process of research, writing papers and publishing,” Fred notes. “That growth is invaluable; my experience here will serve me well going forward, whether I stay in academia or transition into industry.”

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