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M.Sc. Sebastian Franz
Technische Universität München
Postadresse
Boltzmannstr. 3
85748 Garching b. München
- Sprechstunde: by arrangement - preferred on Wednesday
- E-Mail: sebastian.franz(at)tum.de
Teaching
Wintersemester 2025/26
| Titel | LV-Nr. | Art |
|---|---|---|
| Problembasiertes Lernen Bioinformatik (PBL) (IN2343) | 0000005515 | SE |
| Protein Prediction II for Bioinformaticians (IN2230) | 8210934000 | VI |
| Protein Prediction II for Computer Scientists (IN2291) | 0000001357 | VI |
Theses and Project Opportunities
You are always welcome to apply for a collaboration with your own project or if you think that your interests and skills match my research topics!
For your application, please always attach:
- Your motivation to do this exact project
- Your research interests
- Relevant projects and skills (ideally backed by some public resource like a GitHub repository or profile)
- If you want to do a Thesis / Guided Research / Interdisciplinary Project or similar
- Optional: Your CV and your current transcript of records
Past Projects
A list of past projects under my supervision.
2025:
- Bayesian Optimization for Biomedical Laboratories: IDP for developing a biocentral plugin for bayesian optimization on protein tasks.
Available as part of biocentral: https://github.com/biocentral/biocentral
Students: Arno Claude (TUM); Shuze Liu (TUM); Yemliha Öner (TUM) - Sustainable Protein Prediction Model Deployment: Porting existing embedding based prediction models to the maintainable ONNX format and making them available via biocentral_server.
Available as part of biocentral_server: https://github.com/biocentral/biocentral_server
Cooperation with https://iteratec.com - Paula Schlötermann (iteratec GmbH), Christian Rack (iteratec GmbH), Tehseen Rug (iteratec GmbH)
Research
Software:
- Biocentral - Biomedical data, from lab to paper.
- Frontend GitHub: https://github.com/biocentral/biocentral
- Backend GitHub: https://github.com/biocentral/biocentral_server
- Programmatic APIs GitHub: https://github.com/biocentral/biocentral_api
- Web Application: https://app.biocentral.cloud/
- Rostlab Server: https://biocentral.rostlab.org/
- Biotrainer - Biological prediction models made simple.
Libraries:
- bio_flutter - Cross-platform representation and visualization of biological data in flutter.
- tutorial_system - Interactive tutorials for flutter apps, without messing up your code.
- ranking_system - A flexible and powerful ranking system for Flutter applications.
Topics:
- Scientific Software Engineering
- Accessibility, Reproducibility, Open Source Software
- Data & Model Evaluation and Validation
- Active Learning for Biomedical Laboratories
- Protein Language Model (pLM) Distillation & Reliability
- Protein-Protein Interaction
Publications
- Franz, S., Olenyi, T., Schloetermann, P., Smaoui, A., Jimenez Soto, L. F., & Rost, B. (2025). biocentral: embedding-based protein predictions. bioRxiv. https://doi.org/10.1101/2025.11.21.689449
- Labaca-Castro, R., Franz, S., & Rodosek, G. D. (2021). AIMED-RL: Exploring Adversarial Malware Examples with Reinforcement Learning. In Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track (pp. 37–52). Springer International Publishing. doi.org/10.1007/978-3-030-86514-6_3