Summary
Diego Garcia-Olano is a research scientist with 12 years of experience at the intersection of NLP, ML explainability, and applied AI, currently working on model understanding at Meta Superintelligence Labs. He holds a PhD from UT Austin and a master's focused on data mining and network science, and has published work on interpretable biomedical entity representations and dense retrieval for entity linking. Diego blends deep research with production-grade engineering—his background spans full-stack development, large-scale data systems, and practical ML tooling across Google, IBM, and industry projects. He has a track record of translating weakly supervised biomedical signals into human-readable vector components that can be inspected and corrected at inference time. Based in Austin, he brings a rare mix of academic rigor and hands-on delivery informed by prior work for clients like Spotify and Boxee TV.
12 years of coding experience
17 years of employment as a software developer
Bachelor's degree, Computer Science, Political Science and Hispanic Studies (Spanish) with a minor in Business, Honors, Bachelor's degree, Computer Science, Political Science and Hispanic Studies (Spanish) with a minor in Business, Honors at The University of Texas at Austin
Doctor of Philosophy - PhD candidate, Machine Learning (Decision Information Communications Engineering), Doctor of Philosophy - PhD candidate, Machine Learning (Decision Information Communications Engineering) at Cockrell School of Engineering, The University of Texas at Austin
UPC Universitat Politècnica de Catalunya
English, Spanish, French