I am Postdoctoral Researcher at ETH Zurich. My major research interests lie in the field of theoretical and applied machine learning. Additionally, I greatly appreciate all opportunities that allow me to apply my machine learning skills in interdisciplinary projects. So far, I have spent one year working in the field of systems biology and bioimaging (Max Planck Institute of Molecular Cell Biology and Generics, Development of image processing methods for confocal microscopy), as well as over five years in the field of structural biology (Automated analysis of Nuclear Magnetic Resonance spectra of proteins for structural studies).

You can download my CV and visit my LinkedIn profile.





Deep convolutional neural network
for an automated signal selection in protein NMR spectra


Chemical shift-based identification
of oligosaccharide topology

Image analysis for confocal microscopy in the context of 3D liver tissue architecture studies

Commercial projects

X 2014 - ...

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II 2016 - VI 2018

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VII 2013 - VII 2014

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Our manuscript "Chemical shift-based identification of monosaccharide spin-systems with NMR spectroscopy to complement untargeted glycomics" has been accepted in Bioinformatics. 

Open access article is available here. The algorithm proposed in the paper is accessible by the web page glyconmrsearch.nmrhub.eu



Our manuscript "Towards fully automated protein structure elucidation with NMR spectroscopy" has been accepted at BOOM workshop (ICML 2018).




Our manuscript "NMRNet: A deep learning approach to automated peak picking of protein NMR spectra" has been accepted in Bioinformatics.



E-mail: piotr.klukowski@ethz.ch
Building HCI, room F215
D-CHAB, ETH Zurich
Vladimir-Prelog-Weg 1-5/10
8093 Zürich, Switzerland