James Brofos is a quantitative strategies associate with 12 years of experience applying machine learning and statistical methods to real-world problems, most recently transitioning from a senior data scientist role at MITRE to a quantitative role at SESCO Enterprises. He holds a PhD in Statistics and Data Science from Yale and a BA in Mathematics and Computer Science from Dartmouth, and has a strong track record publishing ML research and implementing predictive systems for inference and classification. Comfortable working both independently and in teams, he excels at translating research-grade models into practical solutions that serve the public interest. Based in New Haven, CT, he combines academic rigor (3.95 PhD GPA) with demonstrated operational impact in government-focused technical work. An under-the-radar strength is his competitive drive to apply skills in high-stakes settings, reflected in both peer-reviewed publications and productionized predictive systems.
12 years of coding experience
7 years of employment as a software developer
High School Diploma, High School Diploma at Hopkinton High School
Bachelor of Arts (B.A.), Mathematics and Computer Science, 3.63, Bachelor of Arts (B.A.), Mathematics and Computer Science, 3.63 at Dartmouth College
Doctor of Philosophy - PhD, Statistics and Data Science, 3.95, Doctor of Philosophy - PhD, Statistics and Data Science, 3.95 at Yale University
Contributions:7 PRs, 25 pushes, 5 issues in 1 year
thorbayesianapplication-server
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