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Katia Meziani has been an assistant professor at Paris Dauphine University since 2009. She did a PhD thesis under the direction of Cristina Butuccea, supported in 2008. Her research interests include non-parametric statistics applied to quantum optics, high dimensional statistics and recently artificial intelligence. She has been a member of the board of the Ceremade laboratory for many years.
Lounici K., Meziani K., Peyré G. (2018), Adaptive sup-norm estimation of the Wigner function in noisy quantum homodyne tomography, Annals of Statistics, vol. 46, n°3, p. 1318-1351. 
Alquier P., Butucea C., Hebiri M., Meziani K. (2013), Rank penalized estimation of a quantum system, Physical Review. A, Atomic, Molecular and Optical Physics and Quantum Information, vol. 88, p. n°032113
Alquier P., Meziani K., Peyré G. (2013), Adaptive estimation of the density matrix in quantum homodyne tomography with noisy data, Inverse Problems, vol. 29, n°7
Butucea C., Meziani K. (2011), Quadratic functional estimation in inverse problems, Statistical Methodology, vol. 8, n°1, p. 31-41
Aubry J., Butuccea C., Meziani K. (2009), State estimation in quantum homodyne tomography with noisy data, Inverse Problems, vol. 25, n°1, p. 22 p
Meziani K. (2008), Nonparametric goodness-of-testing in quantum ho- modyne tomography with noisy data, Electronic Journal of Statistics, vol. 2, p. 1195-1223
Meziani K. (2007), Nonparametric estimation of the purity of a quantum state in quantum homodyne tomography with noisy data, 2199-1413, vol. 16, n°4, p. 354-368
Dalalyan A., Heibiri M., Meziani K., Salmon J. (2013), Learning Heteroscedastic Models by Convex Programming under Group Sparsity, in , Volume 28: International Conference on Machine Learning, 17-19 June 2013, Atlanta, Georgia, USA, IEEE - Institute of Electrical and Electronics Engineers, 379–387 p.
