Currently from 2019 I am researcher at Bell labs working on machine learning methods development for trajectories analysis and causal discovery from time-series, explainable AI methods (embeddings, higher-order structures).
Before joining LPI I worked as a researcher in Ecole Polytechnqiue (stochastic processes on networks), Humboldt University (representation and analysis of your data as networks).
In 2018 I was short-term fellow at CRI, working on two different projects at CRI. First of all, I was working on analysis spreading processes in networks: epidemics spreading, mathematical foundation of information spreading, first-passage time network measures. We published several works on networks analysis (percolation of networks) and universal properties of trajectories.
I also cofounded the science-outreach scientists-schools network "Lecturers without borders" www.lewibo.org which brings together scientists traveling around the globe to come to high-schools in remote areas, share knowledge and critical thinking.
Liubov is a mathematician and a theoretical physicist by training, with a PhD from Humbolt University. She studies mathematics in Moscow State University (MSU).
She is interested in the complex networks and processes on them. She also develops the international scientists-schools network exploring potential of scientific networks.
She works on the interface of physics, maths, data analysis and also is interested in the data visualisation methods.
My scientific projects are also listed on my project page .