About

Research Professor for Industrial Data Science, University of Applied Sciences, Kempten. Head of „Technologietransferzentrum Kaufbeuren (Prozessdaten-optimierte Fertigung)“.

Freelance Consulting („Freiberufler“) on
– Data Science
– Algorithm Development
– Mathematics / Statistics / Combinatorics
– Artificial Intelligence
[currently suspended]

PhD in Mathematics

Proficient in various programming languages (e.g. Python, R, C#)

Based in Southern Germany

Contact: statovations.de, contact@

Academia

Primary Studies:

  • Studies in Physics („Vordiplom“, roughly equivalent to Bachelor level, highest grade)
     
  • Studies in Mathematics (Diploma, equivalent to Master level, highest grade „with distinction“)
     
  • Luise-Prell-Price „for an outstanding Diploma thesis“
     
  • Member of the „Leonardo Kolleg“ which has the goal „to promote the best students“
     
    (University of Erlangen-Nuremberg)

Further Studies:

  • Master of Advanced Study, Mathematical Tripos Part III
     
    (University of Cambridge, UK)
     
  • PhD in Mathematics (Probability Theory / Interacting Particle Systems, magna cum laude)
     
    (University of Erlangen-Nuremberg)

Work

Permanent:

  • University of Erlangen-Nuremberg (Teaching Assistant in Probability Theory, Stochastics and Statistics)
     
  • Numares AG (Data Scientist, Deputy Project Lead for the development of an In Vitro Diagnostics cancer test)
     
  • Siemens AG (Programmer, Working Student)
     
  • Spirit Link GmbH (Programmer)

Freelance:

  • OSRAM Opto Semiconductors GmbH (consulting and combinatorical problem solving in the context of printed electronics, resulted in a publication)
     
  • QIAGEN AG („Data Science and Algorithm Expert“, Next Generation DNA Sequencing)
     
  • Roche Diagnostics GmbH („Senior Data Scientist“)
     
  • Easy2Parts GmbH („AI Team Lead“)
     
  • Other short-term projects

Expertise

General:

  • Analytical mindset
     
  • Problem solving
     
  • Project Management
    (Certified Scrum Master,
    Certified Scrum Project Owner)
     
  • ITIL Foundation Certificate in IT Service Management (v4)

Science:

  • Mathematics / Statistics / Combinatorics
     
  • Physics
     
  • Life Sciences

Programming:

  • Scripting languages (Python/R)
     
  • Other languages as necessary (C/C++/C#/Java/…)
     
  • Simulation skills (including MATLAB)
     
  • Unity3D Engine
     
  • trained in „Blockchain Engineering“
    (OTH Regensburg 2019)

Data Science / AI:

  • Machine Learning (Classification and Regression, Linear/Logistic Regression, Support Vector Machine, Decision Trees, Random Forest, Gradient Boosting, Clustering Algorithms)
     
  • Deep Learning (Artificial Neural Networks, PyTorch/TensorFlow, expertise in Computer Vision)
     
  • trained in „Big Data“
    (OTH Regensburg 2017)

Reference Projects

Due to confidentiality obligations, it is not possible to talk in detail about past projects. Instead, from time to time demo projects are uploaded here to demonstrate certain techniques or concepts.

A Blockchain simulation

A proof of concept simulation, proposing to replace the „proof of work“ mechanism as used in Bitcoin by „proof of useful work“.

This app was created during the hackathon associated to the course Blockchain Engineering (OTH Regensburg, 2019).

Keywords: Blockchain, Bitcoin, Cryptocurrency, Unity3D, C#

Neural Networks for Image Classification

Classification of hand-written digits using the well-known MNIST data set.

Neural networks can be designed, trained and evaluated using digits drawn by the user. In the browser.

Keywords: JavaScript, TypeScript, TensorFlow.js, Computer Vision, Image Classification, Artificial Neural Networks, CNN

Contact

You can contact me via