Nick Lourie takes seriously the project of building intelligent machines. By building them, he hopes to better understand how to make decisions and learn about the world. He's held roles across the machine learning lifecycle from basic research through deployment. Previously, he investigated machine ethics, common sense, prompting, and the evaluation of natural language processing models at the Allen Institute for AI. Later, he applied deep learning to financial markets at Two Sigma Investments. Currently, he is pursuing a PhD at NYU advised by He He and Kyunghyun Cho, where he seeks to develop better statistical frameworks for designing, developing, and evaluating neural networks.