Summary
Brendon Boldt is a software engineer and PhD candidate at Carnegie Mellon’s Language Technologies Institute with 11 years of experience spanning machine learning, NLP, full-stack development, operating systems, compilers, databases, and Linux. His research focuses on ML- and linguistics-based evaluation of emergent languages—AI-invented communication systems—bringing rigorous empirical methods to a little-explored intersection of linguistics and artificial intelligence. He has applied this research mindset in both academic labs (Max Planck, CMU) and practical settings, building financial data analytics tools for the U.S. Securities and Exchange Commission and prototyping robot language grounding in simulation. Trained in philosophy as well as computer science, he combines conceptual clarity with hands-on systems engineering to tackle high-value, high-ambiguity problems. Based in Pittsburgh, he describes himself on GitHub as striving to be “a man for all seasons,” reflecting a versatile, research-driven approach to software and ML challenges.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science (Software Development) and Philosophy, 3.97, Bachelor of Science (B.S.), Computer Science (Software Development) and Philosophy, 3.97 at Marist College
3.94, 3.94 at Providence Academy
University of Minnesota Twin Cities
Doctor of Philosophy - PhD, Language Technologies, Doctor of Philosophy - PhD, Language Technologies at Carnegie Mellon University
Latin, Greek, German