Marvin Sextro
Doctoral Researcher at Aignostics
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolMarvin Sextro is a PhD student and researcher at TU Berlin and BIFOLD with eight years of experience applying machine learning to precision medicine, combining generative modeling, causal inference, and computational biology. He also works as a Data Scientist at Aignostics on data-driven drug target identification in partnership with Bayer, translating research models into industry-relevant pipelines. His academic work includes explainable graph neural networks for survival prediction in lung cancer, completed under a competitive Konrad Zuse School ELIZA scholarship. Marvin brings practical full‑stack experience from open-source contributions—improving frontend UX and PDF/camera integration for a popular EU COVID certificate web app—so he bridges prototyping, production, and interpretability. He is motivated by simulating cellular responses to inform therapeutic decisions and welcomes collaborations that intersect ML and translational biology.
8 years of coding experience
1 year of employment as a software developer
Exchange Semester, Machine Learning, Exchange Semester, Machine Learning at KTH Royal Institute of TechnologyPhD, Machine Learning, PhD, Machine Learning at Technische Universität BerlinBachelor of Science, Computer Science, 1.5 (Top 6%), Bachelor of Science, Computer Science, 1.5 (Top 6%) at Leibniz Universität Hannover
English, German
Stackoverflow
111reputation
12kreached
6answers
3questions
Github Skills (19)
javascript10
front-end-development10
react10
pdf-processing9
ui-design8
typescript7
typescript-types7
certificate7
wallet7
typescripts7
dart6
firebase6
flutter6
android-studio6
android6
Programming languages (11)
Github contributions (5)
covidpass-org/covidpass
Jun 2021 - Jan 2022
Web app for adding EU Digital COVID Certificates to your wallet apps
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:16 releases, 3 reviews, 144 commits in 6 months
Contributions summary:Marvin primarily contributed to the frontend of the web application, focusing on the implementation of user interface elements. They added functionalities like color pickers, alerts, and file upload capabilities while integrating with an API. The user also made improvements to the form, including processing the PDF and incorporating a camera view. Furthermore, they improved the user experience and added sharing functionality.
certificatewalletpass
marvinsxtr/ml-project-template
Nov 2024 - Jul 2026
Template machine learning project using wandb, hydra-zen and submitit on Slurm with Apptainer
Contributions:3 releases, 1 review, 3 PRs in 1 year 7 months
apptainermachine-learningslurmwandbsubmitit
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