Graduated with great honor (“magna cum laude”) • Scholarship of the German Research Foundation • Focus: Contact & Symplectic Topology
• German Dr. rer. nat. (wiki > Doctor of natural sciences)
Jan 2003 - Dec 2008
M.S.
Mathematics
University of Cologne - Cologne, Germany
Graduated with distinction
Awarded with a prize of the German Mathematical Society
Thesis awarded with a prize of the German Mathematical Society • Graduated with distinction • Minor: Graph Theory & Theoretical Computer Science • German equivalent to a Master's degree (wiki > Diplom)
Jul 2010 - Jan 2011
Guest-doctoral Fellow
Mathematics
Georgia Institute of Technology - Atlanta GA, USA
Scholarship of the German Academic Exchange Service
Scholarship of the German Academic Exchange Service • Advisor: John Etnyre
Research & Working Experience
Jan 2024 - Present
Principal Research Engineer
Prob. Comp. / AI / ML
MIT (via Deel) — Germany, Remote
I work with the Probabilistic Computing Group at MIT, and lead the research engineering efforts for the MIT Quest for Intelligence perception moonshot. My employment is facilitated through Deel, enabling an international remote work setup
• Focus: Probabilistic modeling • Spatial AI • Inverse graphics • SLAM • 3d scene understanding.
Mar 2023 - Dec 2023
Research Engineer
Prob. Comp. / AI / ML
MIT (contract) — Germany, Remote
I supported the Probabilistic Computing Group on the MIT Quest for Intelligence perception moonshot as an independent contractor • Focus: SLAM, inverse graphics, and 3d scene understanding.
May 2022 - Oct2022
Co-Founder
AI / ML
cgn.ai — Berlin/Cologne, Germany
More to follow soon ...
Nov 2021 - Feb 2022
Data Science Consultant
DeFi / Math. Modeling
HeartRithm Technologies — Germany, Remote
I supported Heartrithm on their data science and modeling front as an independent contractor • Focus: Modeling and optimizing liquidity provision in Uniswap v3 Liquidity Pools • Analysis of perpetual swap arbitrage opportunities ("perpetual carry trades")
Apr 2019 - Oct 2021
Postdoctoral Researcher
AI / ML / Comp. Neurosci.
MIT — Cambridge MA, USA
Neuroscience
Focus: Localization and planning in the hippocampal formation and how this can inform us about general cognitive computations and intelligence • Neural inspired SLAM • Neural data analysis (TDA, low-dimensional embeddings) • Representation of cognitive spaces
Nov 2017 - Mar 2019
Research Scholar
AI / ML / Comp. Neurosci.
Numenta — Redwood City CA, USA
Machine Intelligence,
AI,
ML,
Binary coding,
Time series prediction
Role emerged from a month long research visit in Nov 2016 • Focus: Spatial representations in the brain, and their role in more general cognitive computations and intelligence • Emergence of modularity in continuous attractor networks • Relating sparse coding and information-theoretic concepts • Formal framework for Numenta’s sequence memory from a compression perspective
Oct 2015 - Oct 2017
Postdoctoral Researcher
Mathematics
Institute of Science and Technology Austria — Klosterneuburg, Austria
Topological cluster methods,
Topological data analysis,
Binary coding,
Time series prediction
Focus: Combination of mathematics and computer science, including topological data analysis and machine learning • Topological cluster methods • Sparse coding
• Variable order Markov models
Sep 2014 - Sep 2015
Postdoctoral Researcher
Mathematics
University of Cologne — Cologne, Germany
Contact topology
Symplectic topology
Low-dimensional topology
Focus: The core of my research was mainly in pure mathematics. Keywords: • Contact and symplectic topology • Low-dimensional topology • Computational topology
Mar 2013 - Jan 2014
Technology and Management Consulting
Accenture — Düsseldorf, Germany
IT strategy
Digital strategies
Technology trends
I was a member of the IT Strategy department, with a focus on digital strategies and technology trends.
Other
Misc
Hacker School
(Feb 2014 - Apr 2014), New York City NY, USA
Three-month, free, self-directed, educational retreat for intellectually curious people who want to get better at programming
• Relevant projects: Monadic parser combinator in JavaScript inspired by Haskell
• Lisp interpreter in JavaScript
Civilian Service
(Oct 2001 - Jul 2002), Leverkusen, Germany
Full-time • Individual care of an autistic child at a school for children with special needs
Coursera Certificates
• Neural Networks for Machine Learning
• Deep Learning Specialization:
• Sequence Models • Convolutional Neural Networks • Structuring Machine Learning Projects • Improving Deep Neural Networks • Neural Networks and Deep Learning
