Erik Hartman

I am a PhD student in computational biology at the infection medicine proteomics lab, Lund University, Sweden.

I’ve been passionate about science and research for as long as I can remember. I am alumni of Anders Wall Schlolars, the Swedish Society for Young Scientist (Unga Forskare), Society for Science, International Science and Engineering Fair and international Genetically Engineered Machine (iGEM).

GitHub: https://github.com/ErikHartman

selected publications

Deep learning-guided evolutionary optimization for protein design

Erik Hartman, Di Tang, and Johan Malmström

2026

Controllable protein design through Feynman-Kac steering

Erik Hartman, Jonas Wallin, Johan Malmström, and 1 more author

Nov 2025

Bib

@misc{FK,
  doi = {10.48550/ARXIV.2511.09216},
  url = {https://arxiv.org/abs/2511.09216},
  author = {Hartman, Erik and Wallin, Jonas and Malmstr\"{o}m, Johan and Olsson, Jimmy},
  keywords = {Machine Learning (cs.LG),  Quantitative Methods (q-bio.QM),  Machine Learning (stat.ML),  FOS: Computer and information sciences,  FOS: Computer and information sciences,  FOS: Biological sciences,  FOS: Biological sciences},
  title = {Controllable protein design through Feynman-Kac steering},
  publisher = {arXiv},
  year = {2025},
  copyright = {arXiv.org perpetual,  non-exclusive license},
  month = nov,
}

Navigating the peptide sequence space in search for peptide binders with BoPep

Erik Hartman, Firdaus Samsudin, Malcolm Siljehag Alencar, and 4 more authors

Jan 2025

Peptide clustering enhances large-scale analyses and reveals proteolytic signatures in mass spectrometry data

Erik Hartman, Fredrik Forsberg, Sven Kjellström, and 6 more authors

Nature Communications, Aug 2024

Bib

@article{Hartman2024,
  title = {Peptide clustering enhances large-scale analyses and reveals proteolytic signatures in mass spectrometry data},
  url = {https://doi.org/10.1038/s41467-024-51589-y},
  doi = {https://doi.org/10.1038/s41467-024-51589-y},
  publisher = {Springer Science and Business Media LLC},
  journal = {Nature Communications},
  author = {Hartman, Erik and Forsberg, Fredrik and Kjellstr\"{o}m, Sven and Petrlova, Jitka and Luo, Congyu and Scott, Aaron and Puthia, Manoj and Malmstr\"{o}m, Johan and Schmidtchen, Artur},
  year = {2024},
  month = aug,
}

Interpreting biologically informed neural networks for enhanced proteomic biomarker discovery and pathway analysis

Erik Hartman, Aaron M. Scott, Christofer Karlsson, and 5 more authors

Nature Communications, Sep 2023

Bib

@article{Hartman2023,
  title = {Interpreting biologically informed neural networks for enhanced proteomic biomarker discovery and pathway analysis},
  volume = {14},
  issn = {2041-1723},
  url = {http://dx.doi.org/10.1038/s41467-023-41146-4},
  doi = {10.1038/s41467-023-41146-4},
  number = {1},
  journal = {Nature Communications},
  publisher = {Springer Science and Business Media LLC},
  author = {Hartman, Erik and Scott, Aaron M. and Karlsson, Christofer and Mohanty, Tirthankar and Vaara, Suvi T. and Linder, Adam and Malmstr\"{o}m, Lars and Malmstr\"{o}m, Johan},
  year = {2023},
  month = sep,
  dimensions = {true},
}