Julian Skirzyński

Julian Skirzyński

PhD Candidate

University of California, San Diego

About Me

I am a Ph.D student in Computer Science at UCSD where I work with Berk Ustun. My research lies at the intersection of machine learning, cognitive science and human-computer interaction. I am broadly interested in integrating these areas to improve human decision-making. I would like to create methods that identify parts of the input space where machine learning models outperform humans, extract interpretable strategies from models, and design and empirically evaluate interventions that use these strategies to improve decision-making.

Previously, I was a research scientist at the Max Plank Institute where I worked with Falk Lieder on interpretable reinforcement learning and on interventions to improve human planning. I also advised Educational Entertainment One – a Polish company that developed mobile games for English language learning. I obtained M.S. in Computer Science from McGill University, M.S. in Cognitive Science from University of Warsaw, and B.S. in Mathematics and Cognitive Science from University of Warsaw. You can access my full CV here.

News
Education
  • Ph.D. in Computer Science, 2022-

    University of California, San Diego

  • M.S. in Computer Science, 2020

    McGill University

  • M.S. in Cognitive Science, 2018

    University of Warsaw

  • B.S. in Mathematics & Cognitive Science, 2016

    University of Warsaw

Selected Papers

Discrimination Exposed? On the Reliability of Explanations for Discrimination Detection.

In Submission. (2025).

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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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