Summary
L O'hearn is a computer scientist and freelance author with 13 years of experience applying natural language processing, machine learning, and information-structure thinking to practical problems. With an M.Sc. from the University of Toronto in computational linguistics, their work explores how representations—formal and natural—affect robustness, ambiguity, and inferential behavior, drawing on coding theory, human memory, and error-correction models. They have applied these ideas in industry at Return Path—improving privacy-preserving techniques, anomaly detection, and text classification—and contribute to technical communities through roles on nonprofit boards and grant committees. Comfortable moving between research and applied engineering, they combine theoretical insight with hands-on system design and a long-standing interest in how structure shapes communication.
13 years of coding experience
2 years of employment as a software developer
Hacker School
Master of Science (MSc), Computer Science, Master of Science (MSc), Computer Science at University of Toronto
Bachelor of Science (B.Sc.), Computer Science, Bachelor of Science (B.Sc.), Computer Science at Saint Mary's University
University of Colorado at Boulder
Bachelor of Arts (B.A.), Russian Language and Literature, Bachelor of Arts (B.A.), Russian Language and Literature at University of Waterloo
English, Russian, French, German, Spanish, asl