Iddo Drori

CV

Associate Professor of Computer Science
Program Director of Masters in AI
Boston University, Department of Computer Science (practice) idrori@bu.edu, idrori@cs.bu.edu
MIT, CSAIL (visiting) idrori@mit.edu, idrori@csail.mit.edu
Columbia University, Department of Computer Science (adjunct) idrori@cs.columbia.edu

My research focuses on artificial general intelligence, computer vision, and machine learning for education and climate science.

If you are interested in working together in my group on AGI then please send me an email about your background and research interests.

📖 Textbook: The Science of Deep Learning published by Cambridge University Press is available on Amazon.


🎓 Machine Learning for Education: Can a machine solve, explain, and generate university-level mathematics and STEM courses? Our latest research published in PNAS and featured by MIT news demonstrates that a neural network solves, explains, and generates university math problems by program synthesis and few-shot learning at human level.
🌎 Machine Learning for Climate Science: In the spirit of MIT's leading efforts to take action against climate change for a better world, we've published multidisciplinary work in Nature Scientific Reports on computer vision methods for tracking turbulent structures in the plasma of a fusion reactor, and on predicting the Atlantic Multi-decadal Variability and ocean biogeochemistry, awarded best paper: pathway to impact at NeurIPS CCAI.
🚘 Machine Learning for Autonomous Driving: Can we accurately predict trajectories and learn to drive? we've won the ICCV learning to drive challenge and continuously improve performance; society will accept autonomous vehicles once they are orders of magnitude safer than humans.
🔮 Generative AI: work on evaluating text-to-image models on a multi-task benchmark with quality assurance by teams of human raters and machine evaluation
🌟 Non-profit: AI for every child
💎 Materials Science: paper on a Billion-scale materials structure dataset
🧠 EFRI-BRAID: developing artificial general intelligence with 1000 trillion synapses requiring less than 20W of power.

Recent Awards

🌎 CCAI NeurIPS 2021 Best Paper Award Winner
🏆 FG 2021 Competition Winner, Kinship Verification Challenge
🥇 ACML 2021 Best Student Paper Award Winner
🚘 ICCV 2019 Competition Winner, Learning to Drive Challenge

 Boston University

Department of Computer Science
Faculty member, Associate Professor (of practice)
Program Director of Masters in AI
111 Cummington Mall, Boston, MA 02215
cs-people.bu.edu/idrori
idrori@bu.edu, idrori@cs.bu.edu

 Massachusetts Institute of Technology

Computer Science & Artificial Intelligence Laboratory (CSAIL)
Visiting Associate Professor
77 Massachusetts Ave, Cambridge, MA 02139
www.mit.edu/~idrori
idrori@mit.edu, idrori@csail.mit.edu

 Columbia University

Department of Computer Science
I'm Adjunct Associate Professor since 2017
School of Engineering and Applied Science
500 W 120th Street, New York, NY 10027
www.cs.columbia.edu/~idrori
idrori@cs.columbia.edu

 Cornell University

School of Operations Research & Information Engineering
I was Visiting Associate Professor at Cornell University.

The Science of Deep Learning

Cambridge University Press, 2022.

Academic Service

Profile on Google Scholar

Publications

Teaching

Education

Selected Invited Talks and Panels