PhD Student
Stochastic analysis, Differential geometry, SPDEs
Postdoc
Analysis on metric measure spaces, Functional inequalities on homogeneous groups, sub-Riemannian geometry (with a focus on sub-Finsler geometry)
Postdoc
Analysis on metric spaces, heat kernels, and Dirichlet forms
PhD Student
Stochastic processes, Large Deviations Theory
Postdoc
Stochastic PDEs,
Riemann-Hilbert Problems,
Asymptotics
Postdoc
High-dimensional statistics, localisation of eigenvalues of random matrices, Bayesian inference, methods of statistical physics in ML.
Postdoc
Probability theory, Stochastic processes, Malliavin calculus, convex hulls, rate of convergence.
PhD Student
Statistical methods in population genetics
Postdoc
Integral geometry, Stochastic geometry, Crofton formulae
PhD Student
Differential Geometry
PhD Student
Operator algebras, Hilbert \(C^*\)-modules, kernel reproducing spaces.
Postdoc
Stochastic Analysis, Partial Differential Equations, Differential and Fractal Geometry
PhD Student
Statistical learning
Postdoc
Stochastic processes, Random graphs
Postdoc
statistical methods in population genetics and cancer genomics
Postdoc
Combinatorial Optimization, Mixed-Integer Programming, Timetabling/Scheduling Problems
Postdoc
Analysis on fractals and metric measure spaces
PhD Student
Topological Data Analysis, Stochastic Geometry, Large Deviation Theory, Central Limit Theorems.
Postdoc
Algebraic Geometry, Modular Forms, Random Geometry, Mathematical and Statistical Foundations of Machine Learning, Large Deviations of Deep Neural Networks
PhD Student
Analysis/SDEs on fractals
PhD Student
Stochastic analysis on Riemannian manifolds, Convexity on Riemannian manifolds
Postdoc
High-dimensional statistics, machine learning, random matrix theory
PhD Student
Probability theory, random graphs
Postdoc
Markov chains, Probability theory, Fluorescence microscopy
PhD Student
Gaussian Approximation, Neural Networks
