Summary
Étienne Fortier-dubois is an AI evaluation specialist with nine years of interdisciplinary experience at the intersection of NLP, machine learning, and scientific research tooling. Currently at Elicit, he designs evaluation pipelines, manages gold-standard datasets, and applies prompt engineering to improve LLM outputs for literature review workflows. His background spans production NLP and macOS development at Druide (Antidote), machine-learning research at McGill, and evolutionary-biology research across European universities and Harvard, giving him a rare blend of software engineering, research rigor, and domain knowledge in language and biology. He spent a year-and-a-half self-employed exploring writing norms in science, blogging weekly and finishing a fourth novel, demonstrating strong communication skills and curiosity beyond code. Based in Montreal, Étienne brings practical experience with Python, C++, Objective-C/Swift and hands-on model work with OpenAI and Anthropic, plus an ability to translate scholarly needs into reliable AI-driven tools.
9 years of coding experience
3 years of employment as a software developer
Master of Science (M.Sc.), Evolutionary Biology, Master of Science (M.Sc.), Evolutionary Biology at MEME: Erasmus Mundus Master Programme in Evolutionary Biology
Master of Science (M.Sc.), Biologie évolutive, Master of Science (M.Sc.), Biologie évolutive at Uppsala universitet
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at McGill University
Master of Science (M.Sc.), Biologie évolutive, Master of Science (M.Sc.), Biologie évolutive at Université de Montpellier
Certificat, Journalisme, Certificat, Journalisme at Université de Montréal
Harvard University
French, English, Spanish, Swedish