Summary
Anaelia Ovalle is a research scientist who explores AI and society with a focus on algorithmic fairness, multimodal ML, and affective computing. Based in Los Angeles with nine years of experience, she currently advances Society & AI initiatives at Meta's FAIR, bridging research with real-world impact. Her work at Unity Technologies demonstrated scaling ML in production, including deployment of reinforcement learning and deep learning models that supported products with 100k+ daily active users and data-driven decisions through rigorous A/B testing. Before Meta, she led NLP research at UCLA's NLP X ER Lab and contributed to health applications through multimodal ML. Her academic path spans data science, anthropology, neuroscience, and CS, and she has a track record of outreach and education, including co-founding CS4HS and mentoring early-career developers. This blend of interdisciplinary training and hands-on production ML gives her a distinctive perspective on building responsible AI systems.
9 years of coding experience
8 years of employment as a software developer
Anthropology, Monetary Finance, Anthropology, Monetary Finance at University of California, Berkeley
Bachelor's Degree, Data Science, conc. Economic Analytics, Bachelor's Degree, Data Science, conc. Economic Analytics at University of San Francisco
Business Analytics, Russian, Business Analytics, Russian at University of Denver
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of California, Los Angeles
Spanish, English, java, python, sql, javascript