Andrés Corrada-emmanuel is a founder and scientific inventor with 11 years of experience building algorithms at the intersection of AI, measurement and high-assurance evaluation. He has led data science and optimization teams in Ad-Tech and founded NTQR Logic to apply formal verification and logical alarms to make AI systems safer and more auditable. His work spans anonymous identity systems, unsupervised evaluation of noisy judges, and neural acceleration of physical simulations, with patents and an open-source NTQR Python package emerging from his research. Notably, he developed methods to measure error rates without ground truth and practical performance-curve alternatives to AUC that drove award-winning products in rare disease and advertising. Based in Massachusetts, Andrés bridges rigorous academic training in physics with hands-on engineering in TensorFlow/PyTorch and production RTB systems. He is particularly focused on creating autonomous, privacy-respecting ground-truth inference tools for safety-critical AI deployments.
11 years of coding experience
6 years of employment as a software developer
B. A. Physics, B. A. Physics at Harvard University
Ph. D. Physics, Ph. D. Physics at University of Massachusetts Amherst
Contributions:8 commits, 23 pushes, 1 branch in 1 year 11 months
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