Iddo Drori is an Associate Professor of Computer Science focusing on artificial general intelligence (AGI). He has taught at Stanford, MIT, Columbia, NYU, and BU with excellent formal evaluations.
He has conducted research at Cornell ORIE, MIT EECS, NYU Center for Data Science, Courant Institute, and Tandon. He was a postdoctoral research fellow in statistics at Stanford University and holds a Ph.D. in computer science.
He holds an MBA in organizational behavior and entrepreneurship, and has a decade of industry research and leadership experience.
His current research is in artificial superintelligence (ASI) for math and science, and verifiable automated scientific discovery. He developed the first Deep Learning class at Columbia in 2017, Meta Learning class at MIT in 2020, and AGI class at Columbia in 2023.
The Science of Deep Learning - Cambridge University Press
Artificial General Intelligence: Mathematical Foundations - Forthcoming
He has won multiple competitions in machine learning, AI, and computer vision conferences, and received multiple best paper awards.