Alicia Liu 刘天好

PhD Student @ Computational Neuroscience Initiative, UPenn.

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Hello! I’m Alicia, a PhD student in computational cognitive neuroscience, advised by Tyler Bonnen. I research how the brain builds structured models of the world from experience, how these models are selectively and idiosyncratically activated when processing new information, and how biased models can be updated through new experiences.

Previously, I was advised by Yuan Chang (YC) Leong and Xuechunzi Bai at the University of Chicago, where I received my BA in Philosophy and BS in Computer Science.

Some questions I’ve been interested in: Along what principle axes is memory organized? When is abstract knowledge versus episodic details retrieved? How are representations transformed by retrieval? How are representations factored compositionally and then recombined in novel contexts?

I believe memory is fundamental to explaining the flexibility of intelligence, biological or artificial. Beyond that, (episodic) memory is also interesting to me in a different way: it comprises our identity as individuals; the ‘self’ is a bundle of episodic memories. Thus I feel very lucky to be able to study processes that form the very building blocks of who we are - “the meaningful segments of one’s life, the coherent units of one’s personal history” (Beal and Weiss, 2013). Before going to the empirical side, I also approached these questions in philosophy, where I was interested in self-creation and personhood/moral patienthood.

news

Aug 24, 2026 Starting my PhD at UPenn, advised by Tyler Bonnen!
Apr 22, 2026 Work featured on UChicago Data Science Institute News.
Apr 15, 2026 I will be beginning my PhD this fall in Philly, working with Professor Tyler Bonnen! Words cannot express my gratitude for everyone who gave me their time and support this application season. Above all, I am grateful to YC, who set me on the path of science and research.
Apr 13, 2026 Presented at CHI in Barcelona! Paper now out.
Mar 15, 2026 First-author project awarded Best Paper (top 1%) by ACM SIGCHI 2026! Project website.
Feb 19, 2026 First-author project with Bai and Mina accepted to ACM SIGCHI 2026 (see you in Barcelona!).
Feb 01, 2026 First-author project accepted as blitz talk and poster at SANS 2026!
Jan 04, 2026 (First) first-author project with YC is available on bioRxiv!
Jul 26, 2025 Started as a joint lab manager for YC and Bai at UChicago!
Jul 14, 2025 I now have a non-zero h-index :tada: (i.e. I have 1 citation).
Jun 07, 2025 Graduated with an M.A. in Psychology from UChicago.
Apr 23, 2025 Attended my first neuro conference with a poster presentation at Social & Affective Neuroscience Society! Abstract Book
Jun 01, 2024 Graduated with a B.S. in Computer Science (Specialization in Machine Learning) and a B.A. in Philosophy from UChicago.
May 01, 2023 The start of my research career as a summer intern at the Computational Affective and Social Neuroscience Laboratory.

publications

  1. fig_CHI2026.png
    Writing with AI can reduce gender bias in hiring evaluations
    Alicia T.H. Liu, Mina Lee, and Xuechunzi Bai
    In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026
  2. fig_biorxiv2026.jpg
    Anxiety is associated with idiosyncratic neural event boundaries during naturalistic perception
    Alicia T.H. Liu, Jiajie Chen, Jadyn Park, Haena Kim, and Yuan Chang Leong
    bioRxiv, Preprint, 2026
  3. fig_emotion2025.png
    Desirability biases perceptual decisions in the aversive domain
    Haena Kim, Alicia T.H. Liu, and Yuan Chang Leong
    Emotion, 2025