Summary
Nicholas Lourie is a multidisciplinary AI researcher and engineer with nine years of experience building production ML systems, developing empirical AI research methods, and contributing to information retrieval and document understanding at AI2 and Two Sigma. Currently a PhD student at NYU, he blends research rigor with practical engineering—previous roles span software engineering, research engineering, data science, and quantitative research. He has taught and founded a nonprofit, showing a knack for translating technical ideas into real-world impact and accessible tools. Based in the New York City area, Nicholas combines a background in mathematics and English from Brown with hands-on experience in robotics and AI, and he’s known for tackling both theoretical problems and the messy engineering that makes research reproducible.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.Sc.), Honors, Mathematics and English, Bachelor of Science (B.Sc.), Honors, Mathematics and English at Brown University
Spanish