Azadeh Khaleghi is a Professor of Statistics at ENSAE - CREST. She earned her Ph.D. in Mathematics from Université de Lille I - INRIA Lille (France) and holds an M.Sc. and B.Sc. in Electrical and Computer Engineering from the University of Toronto. Her research focuses on the mathematical foundations of statistics and machine learning, emphasizing long-memory and mixing processes. She develops nonparametric methods for estimating mixing coefficients, modelling complex dependencies in time series, and designing statistical learning and sequential decision-making algorithms robust to long-range dependencies and non-stationarities. Her techniques for understanding dependence in stochastic processes also inform broader areas of statistical learning, including algorithmic fairness.

statistical learning theory, information theory, nonparametric statistics, long-memory processes