Hello World
My name is Sebastian and I'm a Data Scientist
About Me Projects Experience
Sebastian Nagel
from in vitro to in silico
> whoami

I'm Sebastian — a data scientist with a background in molecular medicine and a strong belief that curiosity scales.

After several years in biomedical research, trying to tease out the secrets of cardiac regeneration, I went from modelling in vitro to in silico: Unlocking my passion for understanding data, I've been building AI systems that solve real-world problems — making expert knowledge accessible, automating complex or repetitive tasks, and transforming complex, unstructured data into actionable insights.

Simply put: I am here to build models that are useful, not just impressive.

I enjoy bridging the gap between scientific rigor and practical impact — and I’m most at home where complex problems meet clean code, and insight-driven decision making is the norm.

Outside of work, I'm an expert bedtime negotiator (although my daughter might disagree), an unreformable killer of IKEA plants (I tried, I really did), and a passable piano player.

Let’s connect and build something smart!


applied curiosity
./Projects

Below, find some of the projects I've been a part of. If you are interested in more details, feel free to reach out or check out the links to the blog posts, live demos, and code repositories. Hover over/tap on the tags to reveal extra information!

Note: Some links are still inactive, but I will add more content and background information soon! Nonetheless, I will gladly geek out about all projects with you :)

swizzle — audio to tabs via CNN
Transforming audio files into guitar tabs using their spectrographic representations with a CNN.
learn more
live demo
code
Video-2-Workinstruction
Scalable solution to automatically generate work instructions from videos using LLMs and CLIP models.
learn more
live demo
code
Course Recommender System
A recommendation system for Coursera, leveraging collaborative filtering and content-based filtering techniques.
learn more
live demo
code
training epochs
Latest Checkpoint

I have worked in various roles, from research to data science, and have gained a wide range of skills and experiences. Below is a summary of my professional journey. Don't hesitate to reach out if you have any questions or want to discuss potential collaborations.

Download CV

Let’s make the world a more insights-driven place!


2023 - Present
Data Scientist at Erium
Building scalable AI systems to support or automate complex tasks and make expert knowledge accessible.
  • video-to-workinstruction pipeline, reducing time-to-draft by approx. 80%
  • RAG-powered shopfloor assistant, improving operational efficiency for assembly lines
  • Agentic AI Code Review, enhancing code quality and standardizing code reviews across projects
Data Science GenAI AI Engineering Software Development Project Management
2022 - 2023
Data Science Trainee at neuefische
540 hours of hands-on theoretical and programming practice with team-based development of a final four-week-project.
Data Science Software Development Project Management Machine Learning Engineering
2022 - Present
Freelance Scientific Advisor for LabForward
Advisory, Data Cleaning, and Customer Success services in the context of developing a voice-controlled, AI-powered Laboratory-Assistant.
Freelance Data Science
2018 - 2021
Research Scientist at Institute for Pharmacology and Toxicology Göttingen
Researched cardiac regeneration and developed software for data acquisition and analysis.
  • Developed biological model for myocardial infarctions in engineered human myocardium (EHM) utilizing a sterile organ bath system
  • Automated data acquisition, processing, and visualization using Python, C++, and BASIC
  • Statistical analysis and presentation of data in meetings and conferences
  • Teaching, tutoring, and supervision of rotational students’ projects
Software Development Statistical Analysis Stemcell Biology Molecular Biology Teaching
2012-2017
Education