Summary
Ali Jahanian is a research scientist with a decade of experience at the intersection of AI, generative modeling, and computational creativity, formerly affiliated with CSAIL, MIT. He develops algorithms that enable "learning by generating," creating generative models and representation-learning methods that power data/content creation and robust visual task solving across sensory modalities. His work probes how machines can emulate human-like problem decomposition and out-of-distribution thinking to generalize from simple to complex tasks, yielding practical applications in personalized creativity tools and cognitive theory. Based in New York, he blends academic rigor with industrial impact, aiming to democratize creative capabilities through scalable AI systems. An underappreciated thread of his research is its dual focus on both building generative systems and using them as scientific probes to study human creativity and cognition.
10 years of coding experience
Persian, English