Bio

I obtained my PhD degree  in Probability and Statistics at Moscow State Univiersity in 2002.  I have made a two-year postdoc in EURANDOM (the Netherlands), another two-year postdoc at Queen's Univiersity (Canada) before coming to France where I have spent 3 years as a postdoc at INRIA Grenoble, LJK and as ATER in Ensimag (Polytech Grenoble). Since 2014 I have a permanent position at the Univiersity of Poitiers. I had a research position at the Institut for Information Transmission Problems (Moscow, Russia) from 2005 to 2022. 

Research interests

• Change-point problems

• Non-parametric estimation and hypothesis testing

• High-dimensional statistics

• Statistical methods in bioinformatics

• Statistical methods in security

Recent published and submitted papers

• F. Enikeeva and O. Klopp, Change-point detection in dynamic networks with missing links, Operations Research, Articles in Advance, 1-13, 2025 https://pubsonline.informs.org/doi/10.1287/opre.2021.0413

• F. Enikeeva, O. Klopp, and M. Rousselot, Change-point detection in low-rank VAR processes, Bernoulli, 31(2):1058-1083, 2025

• F. Enikeeva, A. Munk, M. Pohlmann, and F. Werner, Bump detection in the presence of dependency: Does it ease or does it load?, Bernoulli, 26(4):3280-3310, 2020  PDF

• F. Enikeeva and Z. Harchaoui, High-dimensional change-point detection under sparse alternatives, Annals of Statistics, 47(4):2051–2079, 2019 

See the complete list of publications here. 

Current Work

• Adaptive tests for polynomial regression against a general alternative,  with T. Krivobokova (University of Vienne) and P. Serra (University of Amsterdam)

• High-dimensional change-point detection from indirect observations, with A. Juditsky (LJK, Grenoble)

• Testing the change in mean for long-range dependent data, with M. Clausel (University of Lorraine) and F. Roueff (Telecom ParisTech)