Summary
Pedro Milani is a quantitative researcher with 11 years of experience blending AI, computational mathematics, and unstructured alternative data to build deployable models that tackle real-world problems. He holds a PhD in Mechanical Engineering from Stanford and has applied physics-informed machine learning across fluid mechanics, heat transfer, computer vision, and NLP—most recently driving AI research and alternative-data strategies at Citadel after leadership roles at X’s moonshot teams. Equally comfortable deep in code and theory, he has led teams, mentored junior scientists, and translated technical results into stakeholder-facing strategy. Outside work he’s an outdoors enthusiast and social dancer, a profile that mirrors his pragmatic but creative approach to research and productization.
11 years of coding experience
9 years of employment as a software developer
High School, High School at Colégio Bandeirantes
Doctor of Philosophy - PhD Mechanical Engineering, Doctor of Philosophy - PhD Mechanical Engineering at Stanford University
English, Portuguese