معرفی
Colin Conwell is a hybrid academic and industry research scientist affiliated with Harvard University and the Center for Brains, Minds, + Machines. His work bridges computational cognitive neuroscience, machine learning, and intuitive physics. He earned his PhD in the Harvard Vision Sciences Lab under advisors George Alvarez and Talia Konkle, and completed postdoctoral training at Johns Hopkins University with Leyla Isik and Mick Bonner. His research explores how perception and language underpin human intelligence, with a focus on model-brain alignment and the neural basis of aesthetic experience.
- PhD: Harvard University (Vision Sciences)
- Postdoc: Johns Hopkins University (Cognitive Science)
Research interests include: visual perception, multimodal modeling, intuitive physics, and the interplay between neural networks and human cognition. His recent work emphasizes large-scale analyses of neural representations and generative models in predicting brain responses. Projects like BlockBuster and DeepDive highlight his contributions to understanding how deep networks mirror human visual and cognitive processes.
Articles published since 2023 reveal a focus on model-brain similarity, geometric properties of neural representations, and the universality of biological/artificial neural architectures. Collaborations with institutions like the Peabody Essex Museum extend his work into interdisciplinary aesthetics research.
