Mahmoud Assran
Scientist · Advanced Machine Intelligence
I am a Scientist and Member of Technical Staff on the founding team of Advanced Machine Intelligence (AMI). Previously, I was a Research Scientist at Meta in Fundamental AI Research (FAIR).
I work on self-supervised learning and world models, with a focus on Joint-Embedding Predictive Architectures (JEPA), which learn abstract representations of the world by predicting in latent space rather than pixel space. My work on I-JEPA and V-JEPA has been covered by Quanta Magazine, CNBC, Reuters, Fortune, La Presse, and others.
I received my PhD from McGill University, supported by a Vanier Scholarship. I remain involved in academic service, mentorship, and teaching. Recent activities include:
- Speaker, TED AI Vienna (2026)
- Keynote Speaker, World Modeling Workshop, ICLR
- Co-organizer, World Modeling Workshop, ECCV
- Area Chair, NeurIPS
- Book Reviewer, Cambridge University Press
- Guest Lecturer, Georgia Tech, Deep Learning (Prof. Kira), AI Learning Alliance, which brings graduate-level machine learning education to Historically Black Colleges and Universities
- Program Lead, Meta AI Mentorship Program, offering doctoral students two-year research visits
- Office hours, Georgia Tech
I am happy to receive email requests to participate in teaching or mentorship initiatives.
