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Past

Research Staff

Anna Dawid, Ph.D.

Flatiron Research Fellow, Center for Computational Quantum Physics

Website
annadawid.com

Bio

Anna Dawid joined the Center for Computational Quantum Physics in October 2022 as a Flatiron Research Fellow. She studies interpretable machine learning and its applications to quantum sciences. She is also interested in ultracold molecules and quantum simulations. Dawid holds a B.Sc. in biotechnology and an M.Sc. in chemistry from the University of Warsaw and a joint Ph.D. degree in physics and photonics from the University of Warsaw and the Institute of Photonic Sciences in Barcelona.

Publications

Double descent: When do neural quantum states generalize?

arXiv:2508.00068, July 31, 2025

M. Schuyler Moss, Alev Orfi, Christopher Roth, Anirvan M. Sengupta, Antoine Georges, Dries Sels, et al.

Deconstructing the Goldilocks Zone of Neural Network Initialization

arxiv:2402.03579, 2024

Anna Dawid

Characterizing out-of-distribution generalization of neural networks: application to the disordered Su-Schrieffer-Heeger model

arxiv:2406.10012, 2024

Anna Dawid

Speak so a physicist can understand you! TetrisCNN for detecting phase transitions and order parameters

arxiv:2411.02237, 2024

Antoine Georges and Anna Dawid

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Center for Computational Quantum Physics

CCQ’s mission is to develop the concepts, theories, algorithms and codes needed to solve the quantum many-body problem and use the solutions to predict the behavior of materials and molecules of scientific and technological interest.

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