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Stefan Stein

I am a second year PhD student in the Department of Statistics at the University of Warwick and work under the supervision of Prof. Chenlei Leng. I received my bachelor's and master's degree in mathematics from the University of Heidelberg, Germany.

I am on an Industrial Cooperative Awards in Science & Technology (ICASE) studentship and my funding is partially provided by Tata Steel.

Aside from statistics and mathematics, I am interested in cyber security, machine learning and distributed ledger technology. If you would like to have a chat about these things, feel free to get in touch.

Research Interests

Together with Tata Steel I am working on process optimisation and machine learning topics for steel manufacturing. We developed a guided analytics framework that allows the statistically untrained users to use state of the art statistical methods to extract optimal configurations for manufacturing parameters.

I am also interested in devising new methods for analysing large complex data sets that are high-dimensional or networked in nature. Currently I am researching a novel model for sparse networks that combines methods from stochastic network theory with those of high-dimensional data analysis.

Talks

Slides for these talks can be made available upon request.

  • 29 May 2019: Web Crawling with R: How to extract the hyperlink network of personal webpages of the Warwick Stats Department, Westmidlands R User Group, Warwick.
  • 04 April 2019: A guided analytics framework for process optimisation in steel manufacturing, International Conference on Applied Probability and Statistics, Hanoi.
  • 28 November 2018: A guided analytics framework for process optimisation in steel manufacturing, Steel Talks, Warwick.
  • 02 October 2018: Measure Theory in 60 minutes. Or Wilfrid is almost surely smarter than me,
    Young Researcher's Meeting.
  • 30 June 2017: A Central Limit Theorem for Martingales, Part of the Dynamical Models for Networks seminar series, Heidelberg.
  • 06 June 2017: Geodesic Principal Component Analysis, Part of the Statistics of non-Euclidean Data seminar series, Heidelberg.
  • 17 January 2017: Model Selection and Risk Bounds for non-parametric density estimation in the presence of dependent data, Part of the Statistics of Dependent Data seminar series, Heidelberg.
  • 22 June 2016: A Conditional Capital Shortfall Measure of Systemic Risk, Part of the Financial Time Series seminar series, Heidelberg.
Roles
  • 2018/19: Chair of the Statistics Research Student Staff Liaison Committee (SSLC)
  • 2017/18: APTS students representative.

Stein

Email: s dot stein at warwick dot ac dot uk

´╗┐Address:´╗┐ Department of Statistics, University of Warwick, Coventry, CV4 7AL, UK.