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mengqvist/README.md

Hi there, I'm Martin πŸ‘‹

About Me

I'm a Computational Enzyme Engineer passionate about developing and applying cutting-edge machine learning models for designing biotechnologically relevant enzymes. Currently, I'm leading a team focused on improving enzyme stability and activity using generative deep learning models and atomistic modeling at EnginZyme.

πŸ”§ Technologies & Tools

  • Programming Languages:

    • Python
    • R
  • Machine Learning / AI:

    • Classical machine learning (scikit-learn)
    • Deep learning and neural networks (PyTorch)
    • Probabilistic models (Pyro)
      • Project: Solving probabilistic problems from the "Data Analysis - A Bayesian Tutorial" textbook with Pyro.
      • Project: Solving probabilistic problems from the "Model-Based Machine Learning" textbook with Pyro.
  • Bioinformatics:

    • Structure analysis (AlphaFold2, Rosetta, APBS, PyMol)
    • Sequence analysis (HHblits, CD-HIT, HMMER, BLAST, ESM2, etc.)
      • Project: CAZyme prediction in Ascomycetes yeast genomes
      • Project: Experimental exploration of the enzyme class EC 1.1.3.15
  • Data Analysis & Mining:

    • Web scraping (selenium)
    • Dataset analysis and integration (pandas)
  • Other:

    • Git
    • Computational pipeline development

πŸš€ Selected Publications

✨ Other Work

You will find more of my previous work at my old research groups GitHub page

πŸ“« How to Reach Me

Profile views

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  1. data_analysis_mbml data_analysis_mbml Public

    Pyro code for reproducing examples from John Winns MBML book.

    Jupyter Notebook 5

  2. data_analysis_sivia data_analysis_sivia Public

    Pyro code for reproducing some of the examples from the Data Analysis book by D. S. Sivia.

    Jupyter Notebook