Automated safety evaluations across 20 large language models: The Aymara LLM Risk & Responsibility Matrix
Framework and tooling for evaluating risk and responsibility of large language models across 10 real-world safety dimensions.
AI product leader and researcher.
I help organizations build AI that works in high-stakes, real-world environments—from enterprise safety evaluation to billion-dollar regulatory decisions.
I co-founded and serve as CEO of Aymara, an AI safety evaluation company that grew to serve Fortune 50 enterprise customers and leading AI labs—without any funding. Before that, I led legal applied science at Uber, where my team's work was cited in court decisions and influenced billion-dollar regulatory outcomes.
I have a PhD in cognitive neuroscience from Harvard and an AB from Princeton.
Born in New York City and raised in Bolivia and the U.S., I run marathons, practice yoga, and am starting a band with AI musicians.
Co-Founder & CEO
2023–Present
Data Science Manager → Applied Science Manager I → Applied Science Manager II
2019–2023
Head of Data Science
2018–2019
Principal Data Scientist
2016–2018
Associate Fellow
2015–2016
Senior Data Scientist
2014–2015
Decision Science Consultant
2013–2014
Research, essays, and creative work on AI, cognition, and culture.
Framework and tooling for evaluating risk and responsibility of large language models across 10 real-world safety dimensions.
Podcast interviews and conference talks on AI safety, research, and technology.
Email me at jm.contreras.phd [at] gmail [dot] com or submit a message through my contact form.