Summary
Sam Feuer is a programmer with a strong foundation in computer science and mathematics, combining academic research and applied data work to tackle problems in network science, audio-visual analysis, and social-good applications. A Wesleyan graduate, Sam has produced publishable research on network privacy (including a random-walk based anonymity system and an 80-page honors thesis), contributed machine-learning analyses of political advertising, and helped develop a community detection algorithm during an NSF REU. He has practical experience in biomedical imaging data workflows at the Martinos Center and a track record of teaching and curriculum design that complements his technical work. Comfortable bridging theory and practice, Sam brings quantitative rigor, interdisciplinary curiosity, and musical sensitivity to projects that intersect social science, healthcare, and signal processing.
13 years of coding experience
5 years of employment as a software developer
Bachelor of Arts - BA, Mathematics and Computer Science, Bachelor of Arts - BA, Mathematics and Computer Science at Wesleyan University