I am a second year PhD student in the Department of Statistics, 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.
Aside from Statistics and Data Science, I am interested in Blockchain technology and cyber security. If you would like to have a chat about these things, feel free to get in touch.
Together with Tata Steel I am working on process optimisation and machine learning topics for steel manufacturing. During the first year of my PhD I programmed the core of a guided analytics framework that allows the user to extract relevant manufacturing parameters from a data set, find their optimal values and automatically produces a standardised report of the conducted analysis.
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 tries to combine methods from stochastic network theory with those of high-dimensional data analysis.
Talks and Posters
- 28 November 2018: A guided analytics framework for process optimisation in steel manufacturing,
(talk), Steel Talks, Warwick.
- 02 October 2018: Measure Theory in 60 minutes. Or Wilfrid is almost surely smarter than me,
(talk), Young Researcher's Meeting.
Email: s dot stein at warwick dot ac dot uk
Address: Department of Statistics, University of Warwick, Coventry, CV4 7AL, UK.