Cornell Tech’s new faculty are changing how AI learns, reasons, and solves problems

Six new faculty members will join Cornell Tech during the coming year, bringing expertise in artificial intelligence, machine learning, programming languages, and operations research at a pivotal moment for the future of computing. Their work tackles some of the field's most pressing questions: How can AI systems become more trustworthy, adaptable, and efficient? How can they learn from data more responsibly and sustainably? And how can advances in computing drive breakthroughs across science, industry, and society?

These new faculty have already begun shaping the direction of modern AI, including the creation of a programming language for high-performance computing, benchmarks that have become a standard for evaluating machine "unlearning," and AI systems that can reason more effectively, learn from experience, and accelerate scientific discovery.

Their work has earned recognition from leading conferences and some of the field's most competitive fellowships and awards, including the Quad Fellowship, OpenAI Research Award, and Association for Computational Linguistics Outstanding Paper Award.

Learn more on the Cornell Tech website.