Myrto Limniosمشاهده پروفایل
پژوهشگر ارشد
Myrto Limnios is a Bernoulli Instructor at the Institute of Mathematics at École Polytechnique Fédérale de Lausanne (EPFL), holding dual appointments as Lecturer in the School of Basic Sciences - Mathematics Section and Scientist in the Mathematics Department - Geometry section. Her office is located at CM 1 618 (Centre Midi), Station 10, 1015 Lausanne, Switzerland. Dr. Limnios's academic journey began with her PhD at Centre Borelli, ENS Paris-Saclay, Université Paris-Saclay, under the supervision of Prof. Nicolas Vayatis and Ioannis Bargiotas. Her doctoral thesis, Rank Processes and Statistical Applications in High Dimension , established her expertise in statistical methodology. Following her PhD, she completed a postdoctoral fellowship at the Copenhagen Causality Lab of the University of Copenhagen. Her research program focuses on nonparametric statistics, statistical learning theory, and stochastic processes with biomedical applications. She specializes in causal learning methods for event processes using conditional local independence testing (collaborating with Niels Richard Hansen) and concentration results for k-sample Rank and U-processes (with Prof. Stephan Clémençon of Télécom Paris). Her work bridges theoretical advances with practical implementations in epidemiology, neuroscience, and medical diagnostics. Analysis of her recent publications reveals a strong trend toward developing ranking-based statistical methods with applications to anomaly detection, two-sample testing, and causal inference. Her work demonstrates increasing sophistication in handling high-dimensional event processes while maintaining theoretical rigor in statistical guarantees. Among her notable achievements is the Bernoulli Instructorship at EPFL and organizing the Women in Mathematics conference at EPFL in May 2025, which hosted over 60 participants from Switzerland, France, and Spain. She was also honored with a research visit to the Simons Institute for the Theory of Computing at UC Berkeley in November 2024, hosted by Prof. Peter Bartlett. Dr. Limnios teaches advanced statistical methods at EPFL, including Regression Methods (covering linear regression, analysis of variance, diagnostics, and variable selection) and Empirical Processes (focusing on controlling nonasymptotic behavior of estimator collections). Her GitHub activity shows active development of statistical software for independence testing and anomaly ranking. She maintains active collaborations with the Copenhagen Causality Lab, Télécom Paris, and biomedical research groups, particularly through her work on postural control analysis for Parkinsonian syndromes and epidemiological modeling of infectious diseases.
