Azim Ospanov

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SHB 904

Chung Chi Rd, Ma Liu Shui

Hong Kong, Sha Tin, N.T.

I am a PhD student in Computer Science and Engineering at the Chinese University of Hong Kong, advised by Prof. Farzan Farnia. My research focuses on evaluating and improving generative models, as well as advancing the field of formal mathematics.

I was a member of the first graduating cohort in the “Artificial Intelligence: Systems & Technologies” program at CUHK. Before beginning my PhD, I interned at MetaSystems Asia, working on applied computer vision solutions for healthcare.

My main research interests include:

  • Spectral Theory: Applying spectral methods to generative model evaluation and improving output sampling

  • Formal Mathematics: Using Lean 4 for autoformalization and formal theorem proving

news

May 07, 2025 :tada: Our paper on statistical convergence of the Vendi scores was accepted at UAI! Link to OpenReview

latest posts

selected publications

  1. Under Rev.
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    APOLLO: Automated LLM and Lean Collaboration for Advanced Formal Reasoning
    Azim Ospanov, Farzan Farnia, and Roozbeh Yousefzadeh
    2025
  2. NeurIPS 2024
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    Towards a Scalable Reference-Free Evaluation of Generative Models
    Azim Ospanov, Jingwei Zhang, Mohammad Jalali, and 3 more authors
    In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024