Ben - Mathematics Tutor

About

Ben was born in 1995 in Brno, Czech Republic, where he grew up and lived for the first 20 years of his life. Upon graduating from a state grammar school in his hometown, Ben joined Imperial College London in 2015, having won a prestigious scholarship from The Bakala Foundation. In 2019, he graduated with a First Class degree in mathematics (MSci) with a thesis on the Whitney Extension Theorem for Regularity Structures (see Ben’s Portfolio), which he completed under the supervision of the Fields medalist Prof Martin Hairer. Afterwards, Ben joined the Centre For Doctoral Training In Mathematics Of Random Systems. This programme is run jointly by Imperial College London and the University of Oxford and aims to train the next generation of experts in probability theory, mathematical finance and machine learning.

Tutoring Experience

Ben didn’t just experience Czech and British educational systems. Inquisitive and eager to learn more, he spent his 3rd year of university as an exchange student at the Swiss Federal Institute of Technology (ETH) in Zürich. These experiences helped build Ben’s unique personality both on the academic and human level, allowing him to better understand the student’s backgrounds as a whole. Apart from his excellent understanding of Mathematics, Statistics, Programming, Machine learning and whatnot, he manages to draw connections between different fields and explain complicated concepts in simple terms. The 600+ hours of private tutoring experience help too. With Ben, you don’t just get a tutor. You get someone who deeply understands your needs and who will motivate and challenge you past what you thought was possible.

Subjects Taught

Past teaching assistantships at Imperial College include:

Advanced Topics in Stochastic Analysis (PhD course)
Convex Optimization (Masters course)

and many more undergraduate level course

Year 1 Mathematics Project
Real Analysis, Differential Equations, Measure Theory
Statistics

Research Expertise

Ben’s research lies at the intersection of probability theory, Riemannian and discrete geometry. He works under the supervision of Prof Xue-Mei Li who is a specialist in stochastic differential geometry. Concretely, he is interested in how results on bounds of Ricci curvature on Riemannian manifolds could be generalized to a non-smooth setting by optimal transport theory. For an introduction and overview of the subject, see for example Cédric Villani’s Survey or, from a somewhat different perspective, Yann Ollivier’s Survey.

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