Nikita Lagrange- M.Sc. Bioinformatics & Modelling
- PhD Student at Institut Curie
Nikita Lagrange
- M.Sc. Bioinformatics & Modelling
- PhD Student at Institut Curie
PhD student in Computer Science
About
3
Publications
56
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Citations
Introduction
I am Nikita Lagrange, a PhD student at Institut Curie in Paris under the supervision of Dr. Hervé Isambert and the co-supervision of Dr. Barbara Bravi. My thesis focuses on the development of a new search-and-score algorithm for causal discovery in the presence of latent variables using information theory.
Skills and Expertise
Current institution
Education
August 2020 - August 2022
August 2018 - August 2020
Publications
Publications (3)
Generating synthetic data from medical records is a complex task intensified by patient privacy concerns. In recent years, multiple approaches have been reported for the generation of synthetic data, however, limited attention was given to jointly evaluate the quality and the privacy of the generated data. The quality and privacy of synthetic data...
Live-cell microscopy routinely provides massive amounts of time-lapse images of complex cellular systems under various physiological or therapeutic conditions. However, this wealth of data remains difficult to interpret in terms of causal effects. Here, we describe CausalXtract, a flexible computational pipeline that discovers causal and possibly t...
We propose a greedy search-and-score algorithm for ancestral graphs, which include directed as well as bidirected edges, originating from unobserved latent variables. The normalized likelihood score of ancestral graphs is estimated in terms of multivariate information over relevant ``ac-connected subsets'' of vertices, C, that are connected through...
