Summary
Thadryan Sweeney is a PhD candidate in Quantitative Biomedical Sciences at Dartmouth with eight years of applied experience at the intersection of biostatistics, bioinformatics, epidemiology, and machine learning. He has supported translational research at Mass General and bluebird bio, building Python/R pipelines, ML models, and interactive visualizations to accelerate biomarker and cell therapy research. He also teaches bioinformatics and data science, translating complex computational concepts for graduate students. Prior roles range from wet-lab antibody work to frontline service as a firefighter/EMT, reflecting a practical, systems-minded approach to problem solving and risk management. Based in Vermont, he blends rigorous academic training with hands-on data engineering and a penchant for flip-phone minimalism that hints at a focus on essentials over buzzwords.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science (B.S.), Human Biology, Bachelor of Science (B.S.), Human Biology at American International College
Master of Science (M.S.), Bioinformatics, GPA: 3.71, Master of Science (M.S.), Bioinformatics, GPA: 3.71 at Northeastern University
Associate of Arts (A.A.), Liberal Arts and Sciences/Liberal Studies, Associate of Arts (A.A.), Liberal Arts and Sciences/Liberal Studies at Greenfield Community College
English