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Ali Jahanian AI and Creativity, Learning by Generating, Design, Aesthetics

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AI and Creativity, Artificial Intelligence, Computer Vision, Machine Learning, Learning by Generating, Deep Creativity, Design Aesthetics, Human-Computer Interaction, Data-driven Aesthetics, Data-driven Design, HCI, Automatic Design, Quantifying Aesthetics, MIT, CSAIL

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I am an AI research scientist in the CSAIL labs at MIT. I collaborate with Antonio Torralba and Phillip Isola and the labs members, PhD students, and UROPs. My research focuses on AI and creativity. I build machines to understand creativity aspects of our intelligence, and supports us in advancing our innovation. For example, how can we build AI that like humans learns to solve a task by defining simpler tasks and generalizing to more complex tasks? For this, I study two components of human intelligence: generalization and thinking outside the box (out of distribution). Developments from my work demonstrate three main applications: 1) Learning by generating, 2) Personalized creativity support tools to augment and democratize creativity, and 3) Learning theories of cognition and creativity.

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