Arthur W. Juliani, PhD

Postdoctoral Researcher. Microsoft Research, New York City, NY, USA.

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I am a postdoctoral researcher currently at Microsoft Research in New York City. My interests reside at the intersection of psychology, neuroscience, machine learning, and philosophy.

My graduate research focused on human navigation and computational models of the brain systems which support it. I used a combination of behavioral experiments and novel computational modeling to develop a deep learning inspired model of the hippocampal place cell system.

While at Unity Technologies, I was one of the founding developers of the Unity ML Agents toolkit. I also lead a project to develop and host the Obstacle Tower Challenge, a reinforcement learning competition in which hundreds of researchers benchmarked their algorithms.

During my time at Araya Inc I led a pair of projects studying the potential for current deep learning architectures to capture the functional properties of current leading models of consciousness. This included a proposal that the Transformer architecture can be understood as functional Global Neuronal Workspace.

At Microsoft Research I am currently focusing on using the theoretical framework of deep reinforcement learning to model both healthy and pathological representation learning, belief formation, and decision making in humans. The goal of this line of research is to better understanding mental health disorders and their potential treatment through novel modalities such as psychedelic-assisted therapy, meditation, and neurofeedback.

Download my curriculum vitae

latest posts

selected publications

2023

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    Deep CANALs: A Deep Learning Approach to Refining the Canalization Theory of Psychopathology
    Arthur Juliani, Adam Safron, and Ryota Kanai
    2023

2022

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2019

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    Obstacle tower: A generalization challenge in vision, control, and planning
    Arthur Juliani, Ahmed Khalifa, Vincent-Pierre Berges, and 6 more authors
    arXiv preprint arXiv:1902.01378, 2019

2018

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    Unity: A general platform for intelligent agents
    Arthur Juliani, Vincent-Pierre Berges, Ervin Teng, and 8 more authors
    arXiv preprint arXiv:1809.02627, 2018