Julian Skirzyński

Julian Skirzyński

PhD Candidate

University of California, San Diego

About

I am a Computer Science PhD student at UCSD working with Berk Ustun and closely collaborating with Falk Lieder from the Max Planck Institute for Intelligent Systems. My research interests concern machine learning, interpretability, human-computational cognitive science, and reinforcement learning. I am mostly motivated by the use of artificial intelligence in improving human decision making.

Previously, I studied Mathematics and Cognitive Science at University of Warsaw, and Computer Science at McGill University. I also advised AI design and production at Educational Entertainment One – a company that was developing the first-ever narrative-driven mobile game for learning English. You can access my full CV here.

News
Education
  • PhD in Computer Science, 2022-

    University of California, San Diego

  • MSc in Computer Science, 2020

    McGill University

  • MSc in Cognitive Science, 2018

    University of Warsaw

  • BSc in Mathematics & Cognitive Science, 2016

    University of Warsaw

Selected Papers

Automatic discovery and description of human planning strategies.

In Behavior Research Methods. (2023).

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Boosting human decision-making with AI-generated decision aids.

In Computational Brain & Behavior. (2022).

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Language-Conditional Imitation Learning.

In Visually Grounded Interaction and Language, NAACL Workshop. (2021).

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Automatic discovery of interpretable planning strategies.

In Machine Learning. (2021).

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