Summary
Detravious Brinkley is a Ph.D. student in computer science with eight years of hands-on research and engineering experience spanning time series, graph theory, and machine learning. He transitioned from MS work at USC and research at ISI—where he helped develop the TGN10+ framework and published in ACM IUI—into a GEM-sponsored Ph.D. at the University of Florida focused on graph methods. He brings applied industry experience from a data science internship at Colgate-Palmolive and early-stage investing as a venture scout at Nex Cubed, alongside entrepreneurial work with Catalyst Robotics. A former Marine, he couples disciplined leadership and mission focus with technical rigor, often building end-to-end pipelines and dashboards for real-world sensor and enterprise datasets. Beyond code, he hosts community-facing content and has created platforms that blend health, Black history, and civic engagement with technical storytelling. He is pursuing roles that bridge research and product—research scientist, ML engineer, computer vision developer, or data analyst—while grounded in a values-driven purpose.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Southern California
Bachelor of Science Mathematics and Computer Science, Bachelor of Science Mathematics and Computer Science at Claflin University
English, Spanish