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I am a third year Cognitive Science PhD student at UC Berkeley, advised by Alison Gopnik. I am also affiliated with Berkeley Artificial Intelligence Research. I am supported by the National Defense Science and Engineering Graduate Fellowship and a Chancellor’s Fellowship from UC Berkeley. I received my BS in Cognitive Science with a Specialization in Computing from UCLA in June 2022 where I graduated with Departmental Honors and Cum Laude. At UCLA, I mainly worked with Tao Gao in the Visual Intelligence Lab and was awarded the Dean's Award for Life Science Research. I also had the opportunity to be a summer intern at Yale University working with Julian Jara-Ettinger in the Computational Social Cognition Lab. You can email me at adahmani [at] berkeley.edu |
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My research is at the intersection of cognitive science and artificial intelligence, with a focus on building AI systems inspired by human cognition — particularly in learning and reasoning. I draw on decades of research showing how humans learn rapidly and flexibly about the physical and social world, highlighting capabilities that remain beyond current state-of-the-art AI.
My recent projects include investigating automated curriculum learning in humans and machines and exploring how environmental cues influence an agent’s exploration, learning, and goals.
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