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Alejandro Salinas de León

alexsdl@law.stanford.edu

I am an NLP Research Fellow at Stanford Law School, working under the guidance of Professor Julian Nyarko to apply NLP and machine learning to legal and policy questions. My research interests include computational law, algorithmic fairness, aligning machine learning, and AI governance.

Before joining Stanford, I interned as a Data Engineer at Meta, where I focused on improving the recommendation systems for Stories and Reels through feature engineering.

I graduated from Tecnologico de Monterrey as a Physics Engineer in 2023 and as a Lawyer in 2022, earning the distinction of Valedictorian for the Law graduating class of 2022. Additionally, I have collaborated with both private and public entities in Mexico and Silicon Valley to develop AI-safe solutions.

Stanford, California

Research

What's in a Name? Auditing Large Language Models for Race and Gender Bias [FACCT 2024 | arXiv | GitHub | Tweet Thread]
Alejandro Salinas de León, Amit Haim, Julian Nyarko
→ Media Coverage: USA Today, Fast Company
Sobre la implementación de algoritmos de Machine Learning en las ciencias penales y sus implicaciones jurídicas [Revista Mexicana de Ciencias Penales | Tweet Thread]
Alejandro Salinas de León
Published in Revista Mexicana de Ciencias Penales, 2020
→ Media Coverage: Conecta Tec

Blog

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Talks & Presentations

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Recent Updates

2024, November: Delivered the keynote presentation at AI & Law Week, highlighting my research on algorithmic fairness and its implications for legal practice.
2024, October: Taught my first lecture ever at Stanford! So grateful to Professor Norah Fahim and her class of "Writing and Representing Ourselves in the Age of GenAI"
2024, July: Ran my first half-marathon! Running through the hills of San Francisco and the Golden Gate was beautiful!