I have been studying mathematics for the last years, digging into the realms of numbers and logic. In the process, I got to appreciate the elegance that lies within pure mathematics as well as the multitude of real-world applications that emerge from applied mathematics. My studies have also taught me to question seemingly self-evident facts when working scientifically. My mission now involves taking all that abstract knowledge and adopting it for actual use-cases.
I consider mathematics and computer science to be a unity, one being a catalyst for the other. I have been fascinated by computers since I was a child, quickly starting to program small applications. Since then, I have been tinkering around a lot with PCs, Linux and many programming languages. I am very familiar with Java and Python and I am particularly interested in web development and the classic web stack: HTML, CSS, JS, PHP, SQL. I also like to look after my Raspberry Pi and make it do (somewhat) useful stuff.
Generally speaking, I consider myself very curious and open-minded. I am inspired by all kinds of sciences and I never miss a chance to have a decent conversation. Apart from my apparent passion for mathematics and sciences, I am a mountaineering enthusiast, enjoying hiking as well as rock climbing. In my free time, I also like to play the guitar and the trumpet.
M.Sc. Mathematics• September 2016 – January 2019
My graduate studies in Ulm were focussed on statistical topics like Linear Regression Models and Extreme Value Theory. Mathematical classes were complemented by computer science classes, such as Data Mining, Data Science and Cryptopgraphy.
I spent the last semester of my graduate studies at Lund Universitet in Sweden for which I got an ERASMUS scholarship. In Lund, I was able to learn a lot about Numerical Programming in practice. However, the main objective of the exchange was the intercultural discourse. Meeting other students from all over the world was a very refreshing experience.
My Master's thesis covered methods for Uncertainty Quantification in Deep Learning in cooperation with the inovex GmbH (see below).
B.Sc. Mathematics• October 2012 – September 2016
During my undergraduate time, I had a lot of fun learning mathematical reasoning from ground up. I got to know the abstract world of pure mathematics, e.g. Number Theory, Algebra or Measure Theory. On the other hand I took many classes in Stochastics and Probability Theory. Besides mathematics, I minored in computer science, learning about Computer Networks, Databases and Computational Complexity. My thesis was about Approximating tomographic data of agglomerates by bonded particle systems and their stochastic modeling, which resulted in the paper Bonded-particle extraction and stochastic modeling of internal agglomerate structures (see below).
Machine Learning Engineer• April 2019 – Present
The inovex GmbH is an IT consulting company with services including application development, IT operations and data products.
As a Machine Learning Engineer at inovex, I am concerned with the exploration, development and integration of data-driven applications.
Master's student• July 2018 – January 2019
Evaluation of recently published methods for Uncertainty Quantification in Deep Learning. Improving on existing algorithms and developing new approaches. Comparing deep learning methods to other, non neural network related, concepts like Gaussian Processes. Underlying technologies include Python, PyTorch, Theano and PyMC.
Member of the executive board (IT) / IT department• October 2016 – Present
The priamos consulting group e.V. is a student-organized non-profit organization helping fellow students gain experience in various fields of consulting business, e.g. software development, market research or business analysis. Many projects are “pro bono”, thus supporting other non-profit organizations.
Review of the IT infrastructure as responsible member of the board and planning of extensive changes for data storage, knowledge base, digital project management and communication. Execution and implementation of proposed changes by using state-of-the-art open source software as well as individual adjustments. Development of a robust backup strategy and advanced automation in member management. Coaching regarding internal documentation and knowledge management.
Research Assistant at the Institute of Stochastics• January 2014 – March 2016
Preliminary work for Bachelor's thesis about Approximating tomographic data of agglomerates by bonded particle systems and their stochastic modeling, the results of which were used in the paper Bonded-particle extraction and stochastic modeling of internal agglomerate structures.
Manipulation and segmentation of 3D images. Extraction of statistical information from 3D image data. Stochastic modelling of a generative process for particle agglomerates. Probability distribution fitting.
Intern• July 2014 – September 2014
The Allianz Versicherungs AG is one of the largest insurance companies world-wide providing insurance products for businesses as well as individuals.
Comprehensive insights into insurance calculation, software development for related applications and legal frameworks. Reorganization of the mathematical calculation foundation and development (and testing) of VBA apps for financial calculations.
Leave me a message if you like. I am happy to answer questions regarding studies, work or hobbies. I always appreciate a decent conversation and new ideas so don't hesitate!