Iddo Drori

I'm a faculty member and Associate Professor of Computer Science,
Boston University (practice), MIT (visiting), Columbia University (adj).
My research focuses on artificial general intelligence, computer vision, and machine learning for education and climate science.

If you are a PhD or Masters student at BU interested in research in my group, or a Masters or undergraduate student at MIT interested in an MEng or UROP then please send me an email about your interests and background along with your CV.

🧠 BRAID: Developing artificial general intelligence with 1000 trillion synapses requiring less than 20W of power.
📖 Deep Learning: My new 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 on learning to learn courses 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: Can we predict extreme climate change based on millennia of data and monitor climate? In the spirit of MIT's leading efforts to take action against climate change for a better world, we've published multidisciplinary work on predicting the Atlantic Multi-decadal Variability and ocean biogeochemistry, awarded best paper: pathway to impact.
🚘 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.

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) & Director of Masters in AI
111 Cummington Mall, Boston, MA 02215,

 Massachusetts Institute of Technology

I was a Lecturer at EECS, and will be visiting Associate Professor
77 Massachusetts Ave, Cambridge, MA 02139

 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

 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




Selected Invited Talks and Panels