Senior data scientist & AI engineer
res mechanica GmbH
(Internet and Information Technology, < 10 employees)
Skills
Tech (kompetent):
Reinforcement learning for customer relations. Results: co-developed AI software for a major bank (Python, TensorFlow, Pandas), built live demo of an AI product from the ground up (Dash, Django), built CI testing framework for core AI codebase, redesigned customer-facing dashboard (Dash, Django), and helped refine product strategy. February 2016 - June 2020 Doctoral work, LMU Munich
Using tailored Markov-chain Monte-Carlo simulations in C++ and statistical analyses & visualizations in Python to elucidate DNA organization. My research helped answer the question of whether bacterial DNA is organized by molecular motors. Results: two research papers and a simulation framework that is planned to be used for future projects. 2019 - now Course founder and teacher, Lyzeum 2 e.V.
Founder of three semi-weekly courses on critical thinking and rationality (for both Gymnasium students as well as adults). See www.lyzeum-muenchen.de for more information. 2015 - 2016 Research project (10 months), Eindhoven Uni of Tech
Using partial differential equations and Fourier analysis to elucidate mechanics of synaptic growth. Team: R. Kusters, C. Storm, C. Hoogenraad. Result: research paper. 2011 Industry internship (6 months), FEI Company, Veldhoven
MATLAB analyses of electron scattering simulation data to improve imaging sensor capture quality. Team: K.M., Gerald van Hoften.
- Python
- pandas
- TensorFlow / Keras
- dash
- Django
- NumPy
- scikit-learn
- Matplotlib
- JupyterMySQL & Postgres
- regex
- C++
- git
- testing suites (Google Test, unittest, Catch2)
- Illustrator
- MATLAB
- statistics
- machine learning
- data analysis
- data visualization
- scientific illustration
- software development
- unit testing
- critical thinking & rationality
- teaching
Reinforcement learning for customer relations. Results: co-developed AI software for a major bank (Python, TensorFlow, Pandas), built live demo of an AI product from the ground up (Dash, Django), built CI testing framework for core AI codebase, redesigned customer-facing dashboard (Dash, Django), and helped refine product strategy. February 2016 - June 2020 Doctoral work, LMU Munich
Using tailored Markov-chain Monte-Carlo simulations in C++ and statistical analyses & visualizations in Python to elucidate DNA organization. My research helped answer the question of whether bacterial DNA is organized by molecular motors. Results: two research papers and a simulation framework that is planned to be used for future projects. 2019 - now Course founder and teacher, Lyzeum 2 e.V.
Founder of three semi-weekly courses on critical thinking and rationality (for both Gymnasium students as well as adults). See www.lyzeum-muenchen.de for more information. 2015 - 2016 Research project (10 months), Eindhoven Uni of Tech
Using partial differential equations and Fourier analysis to elucidate mechanics of synaptic growth. Team: R. Kusters, C. Storm, C. Hoogenraad. Result: research paper. 2011 Industry internship (6 months), FEI Company, Veldhoven
MATLAB analyses of electron scattering simulation data to improve imaging sensor capture quality. Team: K.M., Gerald van Hoften.
Project history
09/2020
-
Present
Reinforcement learning for customer relations. Results: co-developed AI software for a major bank (Python, TensorFlow, Pandas), built live demo of an AI product from the ground up (Dash, Django), built CI testing framework for core AI codebase, redesigned customer-facing dashboard (Dash, Django), and helped refine product strategy.
09/2019
-
Present
Kursgründer & Rationalitätsdozent
Lyzeum 2 e.V.
(Other, < 10 employees)
Founder of three semi-weekly courses on critical thinking and rationality (for both Gymnasium students as well as adults). See lyzeum-muenchen.de for more information.
12/2020
-
06/2021
Entwickler (Teilzeitige Beraterrolle)
große deutsche Bank
(Banks and financial services, >10.000 employees)
KI-Softwareprodukt integrieren in Legacysystem
02/2016
-
06/2020
Promotionsarbeit
LMU München
(Public service, 5000-10.000 employees)
Using tailored Markov-chain Monte-Carlo simulations in C++ and statistical analyses & visualizations in Python to elucidate DNA organization. My research helped answer the question of whether bacterial DNA is organized by molecular motors. Results: two research papers and a simulation framework that is planned to be used for future projects.
Local Availability
Only available in these countries:
Germany
