Nils Tippenhauer
Faculty Member at CISPA Helmholtz Center for Information Security
Saarbrücken, Saarland, Germany
Summary
🤩
Rockstar🎓
Top SchoolNils Tippenhauer is a faculty member at CISPA with 11 years of research and engineering experience at the intersection of security, wireless systems, and cyber-physical infrastructures. His work spans academia and applied research—from a PhD and postdoc at ETH Zurich to faculty roles and positions focusing on smart grid and industrial control system security. He blends deep technical expertise in embedded and physical-layer security with practical data engineering skills, exemplified by contributions to the widely used covid19_scenarios project where he improved multi-source data parsing and quality pipelines. Nils has a track record of translating novel research into tangible outcomes, including award-winning papers and a granted patent from industry collaborations. Based in Saarbrücken, he is comfortable moving between low-level protocol and hardware concerns and higher-level data-driven analyses, making him effective in both theoretical and operational security challenges.
11 years of coding experience
6 years of employment as a software developer
Dr. Sc. ETH (PhD), System Security, Dr. Sc. ETH (PhD), System Security at Eidgenössische Technische Hochschule ZürichDipl.-Ing (Msc), Computer Engineering, Dipl.-Ing (Msc), Computer Engineering at Technische Universität Hamburg-HarburgExchange, Electrical Engineering, Exchange, Electrical Engineering at University of Waterloo
English, French, German, Turkish
Github Skills (11)
vi10
json10
data-parsing10
python10
co10
data-engineering10
covid-testing10
pandas9
data-analysis8
github-ci4
githubaction-workflow4
Programming languages (8)
Github contributions (5)
neherlab/covid19_scenarios
Mar 2020 - Apr 2020
Models of COVID-19 outbreak trajectories and hospital demand
Role in this project:
Data Scientist / Data Engineer
Data Scientist / Data EngineerContributions:130 commits, 17 PRs, 51 pushes in 1 month
Contributions summary:Nils primarily contributed to data parsing and processing pipelines for COVID-19 case and death statistics. They developed parsers for data from multiple sources, including ECDC and coronadatascraper.com, to extract and format relevant information. The user refactored the code to use a common utility, and also implemented a merging strategy to consolidate data from different sources. Further, the user worked on writing the results to JSON files and made improvements to data quality.
hospitaldatancovoutbreakscience
noleti/tippenhauer.de
Dec 2019 - Jun 2026
Contributions:186 pushes, 1 branch in 6 years 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.