Lukas Hönig is a Data Scientist based in Berlin with 12 years of engineering experience, currently building AI solutions for precision medicine at Aignostics. He combines strong academic grounding (MSc in Computer Science from TU Berlin with top grades) with hands-on machine learning engineering experience from battery analytics at betteries AMPS and bioinformatics work on CASP protein prediction projects. Lukas has a pragmatic product-minded background—earlier roles in iOS development and operations honed his front-end and systems skills—which complements his data science practice. An active open-source contributor, he improved cockpit UI and data visualization for the popular A32NX flight‑sim project, reflecting a knack for making complex technical data accessible. Colleagues describe him as someone who bridges research, engineering, and user-focused design to deliver practical ML systems.
12 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, 1,0, Master of Science - MS, Computer Science, 1,0 at Technische Universität Berlin
The A32NX & A380X Project are community driven open source projects to create free Airbus aircraft in Microsoft Flight Simulator that are as close to reality as possible.
Role in this project:
Front-end Developer
Contributions:7 reviews, 28 commits, 4 PRs in 1 month
Contributions summary:Lukas primarily focused on enhancing the user interface of the A32NX project, making changes related to the display of information within the cockpit. Their contributions involved correcting typos, adjusting colors, and improving the presentation of data related to navigation and flight information. Furthermore, they implemented dynamic updates for multiple pages, including IRS and position monitors, and introduced new features such as the closest airports page. These changes suggest a focus on refining the user experience and data visualization within the flight simulator's virtual cockpit.
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