Iddo Drori. Ph.D.

Iddo Drori, Ph.D.

iddo.drori@yu.edu | 646-592-4763 | 205 Lexington Avenue, 7th FL, NYC

Iddo Drori is an Associate Professor in Computer Science and Engineering at Yeshiva University and Visiting Scholar at Stanford University. 
His research focuses on artificial general and super intelligence, AI for mathematics and engineering, and AI for understanding how the brain works. 
He is the author of the books The Science of Deep Learning and Artificial General Intelligence: Mathematical Foundations with Cambridge University Press, and has more than 85 publications with over 7,500 citations, with multiple best paper awards.

He has performed research at Stanford MS&E and Statistics, Cornell ORIE, MIT CSAIL, and NYU Courant Institute School of Mathematics, Computing, and Data Science. He has taught at Stanford, MIT, Columbia University, NYU, BU, TAU, and developed the first Deep Learning and Artificial General Intelligence courses at Columbia University, Meta Learning course at MIT, and the Neural Computation course at Yeshiva University. 

Prof. Drori holds a Ph.D. in computer science and was a postdoctoral research fellow in Statistics at Stanford University. He also holds graduate degrees in Computer Science and Mathematics from the Hebrew University of Jerusalem and an MBA in organizational behavior and entrepreneurship from Tel Aviv University, and has a decade of industry research and leadership experience. He has won multiple competitions in AI and computer vision conferences and received multiple best paper awards in machine learning conferences.

Recent Awards

• 2024 International Mathematical Olympiad (IMO): AI X Prize - Zack Meeks, Xi Chen, Mao Mao, Akshat Gurbuxani, Iddo Drori - Silver medal
• 2022 NeurIPS open-ended learning competitions: MineRL BASALT and Neural MMO
• 2021 CCAI NeurIPS Best Paper Award Winner
• 2021 FG Competition Winner, Kinship Verification Challenge
• ACML 2021 Best Student Paper Award Winner
• ICCV 2019 Competition Winner, Learning to Drive Challenge