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πŸ”¬
curing cancer...
πŸ”¬
curing cancer...

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rmnldwg/README.md

Hey, I'm Roman πŸ‘‹

πŸ”­ Working on probabilistic models to predict how cancer spreads
πŸ‘― Interested in collaborating on datasets of lymphatic progression patterns in head & neck cancer
πŸ’¬ Always happy to hear feedback on our interactive Lymphatic Progression eXplorer (LyProX)

πŸ“šπŸ” Research fields

I am a PostDoc in the medical physics research group of Prof. Jan Unkelbach at the University Zurich and the University Hospital Zurich.

In our main project, we try to model the risk for metastases in the lymph system of patients with squamous cell carcinomas in the head & neck region. You can read more on that in an excellent paper by a PostDoc in our group: Pouymayou et al. You can also check out our code for the lymph model, which is a python package containing the code to learn and compute this risk of lymphatic metastases using Bayesian networks (mentioned paper) and also - this is new - hidden Markov models (Ludwig et al).

Another project deals with optimal fractionation schemes. Fractionation is the splitting of a prescribed dose of radiation designed to kill cancer cells in a tumor into multiple sessions to allow the healthy parts of the body to recover better. Innovative technologies like the MR-LinAc at our institution enable us to tackle this problem with reinforcement learning

πŸ”­ Topics I'm interested in

  • probabilistic models
  • interpretable machine learning methods
  • statistical learning theory

and also (though not necessarily research-related)

  • 🌌 (theoretical) astrophysics (I did my master in this group)
  • web development
  • open source

πŸ› οΈ Tech Stack

Writing Markdown Quarto LaTeX
Coding Python NumPy Pandas SciPy Jupyter Notebook Django
Dev Git GitHub GitHub Actions CodeCov
Software Microsoft Office Affinity Photo Inkscape
Learning Exercism Julia JavaScript

Thanks a lot for reading πŸ˜ƒ

πŸ“« In case you want to reach me: roman.ludwig@usz.ch

Pinned Loading

  1. lymph lymph Public

    Python package for statistical modelling of lymphatic metastatic spread in head & neck cancer.

    Python 5 4

  2. lyprox lyprox Public

    Web app for exploring patterns and correlations in the lymph node level involvements of head & neck cancer patients.

    Python 4 4

  3. lydata lydata Public

    Repository for storing datasets that report detailed lymphatic progression patterns of head & neck cancer patients.

    Jupyter Notebook 4

  4. icd icd Public

    Python library for dealing with ICD codes (revisions 10 & 11)

    Python

  5. liver-smart liver-smart Public

    Data and analysis pipeline for a study on the potential advantages of daily adaptive liver SBRT performed at the University Hospital Zurich.

    Jupyter Notebook 2 2

  6. openAFT/adaptfx openAFT/adaptfx Public

    Reinforcement Learning based Adaptive Fractionation Package for MR guided Radiotherapy

    Python 2 2