Email: firstname.lastname@math.ethz.ch
Office: HG G 21.2
About
I am a final year PhD student at ETH Zurich working with Prof. Afonso Bandeira at Mathematics Department. My research interests include high-dimensional statistics, computational complexity, and randomized algorithms. In particular, I work on understanding of phase transitions and computational hardness of statistical inference.
I am passionate about teaching mathematics and finding methods for making learning process more efficient in higher education. Here is a D-MATH article about the puzzle technique I introduced to a student seminar to make it more interactive. Please refer to the teaching section below to learn more about my teaching at ETH. Here is a link to my full CV (last updated in July 2026).Teaching
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Spring 2025
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Fall 2024 and Spring 2026
Average-case complexity in statistical inference
Organizer of the Student seminar in jigsaw format
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Fall 2023 and 2026
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Spring 2023 and 2024
Mathematics of Signals, Networks, and Learning Category
Teaching Assistant
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Fall 2022
Mathematics of Data Science
Teaching Assistant
Selected publications
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Computational lower bounds for multi-frequency group synchronization
Anastasia Kireeva, Afonso S. Bandeira, Dmitriy Kunisky (2026)
arXiv| Publication| Poster -
The Lovász number of random circulant graphs
Afonso S. Bandeira, Jarosław Błasiok, Daniil Dmitriev, Ulysse Faure, Anastasia Kireeva, Dmitriy Kunisky (2025)
arXiv| Publication -
Randomized matrix computations: Themes and variations
Anastasia Kireeva, Joel Tropp (2024)
arXiv -
Breakdown of a concavity property of mutual information for non-Gaussian channels
Anastasia Kireeva, Jean-Christophe Mourrat (2023)
Information and Inference: A Journal of the IMA 13.2
arXiv | Publication | Poster -
Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies
Ilyas Fatkhullin, Anas Barakat, Anastasia Kireeva, Niao He (2023)
International Conference on Machine Learning. PMLR, pp. 9827–9869
arXiv | Publication | Code | Poster