Curriculum Vitae

Summary

  • Mathematician (Ph.D.) with 5+ years of unversity level research and teaching
  • Skilled in Python, SQL and cloud technologies
  • Passionate about math, coding, data and deep learning
  • Knowledgable about digital signal processing, acoustics, and music

Research & Work Experience

Assistant Professor (Akademischer Rat auf Zeit) 2017 — 2024

Bielefeld University — Bielefeld, Germany
  • Planned and taught over 20 courses with consistenly positive student feedback
  • Supervised and evaluated four M.Sc. and three B.Sc. theses
  • Publication of the popular monograph "The Disk Embedding Theorem", Behrens et. al., OUP 2021
  • Research projects and scientific publications on the geometry and topology of 3- and 4-dimensional manifolds, focussing on applications of Seiberg-Witten theory
  • International and national collaborations
Postdoctoral Researcher 2015 — 2017

Utrecht University — Utrecht, Netherlands
  • Research and teaching in mathematics
  • Published several research articles
  • Co-supervised B.Sc. thesis
  • Attended international conferences
ERC Postdoctoral Fellow 2013 — 2015

Alfréd Rényi Institute of Mathamtics — Budapest, Hungary
  • Research in mathematics
  • Published several papers
  • Attended international conferences

Education

Ph.D. in Mathematics (Dr. rer. nat.) 05/2014

University of Bonn — Bonn, Germany
  • Thesis: Surface Diagrams of Smooth 4-Manifolds (supervised by Prof. Dr. Peter Teichner)
  • Graduated magna cum laude
  • IMPRS Fellow at the Max-Planck-Institute for Mathematics
M.Sc. in Mathematics (Dipl. Math.) 09/2009

University of Bonn — Bonn, Germany
  • Thesis: The L²-Stokes theorem on certain incomplete manifolds (supervised by Prof. Dr. Matthias Lesch)
  • Mathematical specialization: Analysis on manifolds, stochastic analysis, algebraic geometry, topology
  • Christian-Kuhlemann-Foundation Award for outstanding undergraduate achievements (at Leibniz University Hannover)

Certificates

IBM DevOps and Software Engineering in progress

IBM / Coursera
  • URLs:
  • Subjects Covered:
    • DevOps and Agile Methods
    • Version Management with Git and GitHub
    • Shell scripting in Linux
    • Cotainerization
    • Microservices and Cloud Deployment
    • Test and Behavior Driven Development
  • Technologies Used:
    • Git
    • GitHub
    • Linux
    • Bash
    • Python
    • Flask
    • Docker
    • Kubernetes
    • OpenShift
Databases for Data Scientists 09/2025

University of Pennsylvania / Coursera
AI and Machine Learning Essentials with Python Specialization 06/2025

University of Pennsylvania / Coursera
  • URLs:
  • Subjects Covered:
    • Search algorithms (informed, uninformed, A*)
    • Basic statistics (probability distributions, central limit theorem, confidence intervals)
    • Machine learning algorithms (regression, SVMs)
    • Deep learning (neural networks)
  • Technologies Used:
    • Python
    • scikit-learn
    • PyTorch
IBM Data Science Professional Certificate 05/2025

IBM / Coursera
  • URLs:
  • Subjects Covered:
    • Data science methodology (from business requirements to model deployment)
    • Data collection and preparation
    • Data analysis and modelling
    • Model evaluation and deployment
    • Machine learning algorithms (prediction, classification, clustering)
    • Data visualization (plots, dashboards, presentations)
  • Technologies Used:
    • Python
    • SQL
    • pandas
    • scikit-learn
    • matplotlib
    • seaborn
    • Plotly Dash
    • BeautifulSoup (webscraping)
    • REST APIs
Google Cybersecurity Professional Certificate 04/2025

Google / Coursera
  • URLs:
  • Subjects Covered:
    • NIST frameworks
    • OWASP security principles
    • Network models (TCP/IP, OSI)
    • Network protocols (TCP, UDP, HTTP(S))
    • Network monitoring
    • Log analysis
    • Threat detection
    • Incident response
    • Identity and access management
    • Encryption
    • Authentication
    • Authorization
    • Cloud security basics
  • Technologies Used:
    • Linux
    • Python
    • SQL
    • Wireshark
    • tcpdump
Python 3 Programming Specialization 02/2025

University of Michigan / Coursera
  • URLs:
  • Subjects Covered:
    • Programming fundamentals
    • Object oriented programming
    • Data collection and processing
  • Technologies Used:
    • Python
    • JupyterLab
    • HTTP protocol
    • REST APIs

Tech Skills

Operating Systems:

  • I prefer to use Windows, but I’m also familiar with Linux sytems.
  • I have some experience in shell scripting using Power Shell and bash.

Programming:

  • I mainly write in Python using an object oriented approach. I frequently use the libraries NumPy, SciPy, matplotlib, pandas, scikit-learn, PyTorch, librosa, and various packages from the standard library.
  • I have some experience with Lua in the context of the digital audio workstation Reaper.
  • I know a bit of C++ and I’d like to learn more, eventually.

Databases:

  • I’m proficient in writing SQL queries. I have worked with SQLite3 and PostgreSQL.
  • I’m familiar with relational database design and normalization to 3rd normal form.
  • I have a general understanding of Data Warehousing and NoSQL solutions and I plan to expand my knowlegde.

Software Engineering:

  • I’ve been using Git and GitHub for version control.
  • I’ve started to integrate systematic unit testing using the pytest framework into my work flow.
  • I have learned about Scrum and DevOps principles and I’m looking forward to practice them professionally.

Cloud Services:

  • I’m currently familiarizing myself with the Amazon/AWS ecosystem. I eventually plan to use it to host this website and to add interactive features.

Others:

  • I have been using LaTeX for many years to produce scientific texts, presentations, and other documents.
  • If need be, I know how to push Microsoft Word and Excel quite far, but I prefer to use other tools.