Summary
Jackie Baek is an assistant professor at NYU Stern whose research blends machine learning, decision-making, and societal impact to design practical algorithms for high-stakes domains like hiring and global health. With a Ph.D. in Operations Research from MIT and a decade-plus of experience spanning academic fellowships at the Simons Institute and industry internships at companies such as Snapchat, Dropbox, and Bloomberg, she bridges rigorous theory and production-minded engineering. Her work emphasizes fairness and real-world deployment, translating mathematical tools into policies and systems that address equity and public good. Based in New York, she combines deep optimization expertise from a Combinatorics & Optimization undergraduate background with hands-on software experience, making her research both theoretically grounded and practically implementable.
12 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Operations Research, Doctor of Philosophy (Ph.D.), Operations Research at Massachusetts Institute of Technology
International Baccalaureate Diploma, International Baccalaureate Diploma at Colonel By Secondary School
Bachelor of Mathematics, Combinatorics & Optimization, Computer Science, Bachelor of Mathematics, Combinatorics & Optimization, Computer Science at University of Waterloo