Summary
Erin Olson is a computational linguist and Data Scientist I based in Chicago with a PhD from MIT and 13 years of combined academic and industry experience applying linguistic theory to real-world language systems. She has led evaluation and annotation strategies for GenAI summarizers and regulatory classifiers at Bank of America, proposing novel metrics for upstream data quality and automating performance pipelines in Python. At Amazon and AWS she scaled multilingual data collections and reduced operational overhead through process redesign and tooling, acting as a bridge between linguists, vendors, and engineering teams. Her research rigor—grounded in phonological modeling and Maximum Entropy grammars—informs practical model assessment, particularly around linguistic biases and ASR issues. Erin also mentors colleagues and datathon teams, bringing experimental design and statistical thinking from her lab work into production ML workflows. Colleagues describe her strength as translating nuanced linguistic judgments into measurable, auditable criteria that improve model safety and regulatory coverage.
13 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Linguistics, Doctor of Philosophy - PhD, Linguistics at Massachusetts Institute of Technology
Bachelor of Arts - BA, Linguistics, Bachelor of Arts - BA, Linguistics at McGill University
English, Spanish, French