Assistant Professor in AI Technology for Life and Biomolecular Mass Spectrometry & Proteomics at Utrecht University
Group name: Computational Mass Spectrometry
Research field: Proteomics and Machine Learning
Computational Biology, Machine Learning, Next Generation Sequencing, Proteogenomics, Proteomics, Protein Interactions
Contact
Princetonplein 5
3584 CC
Utrecht
Padualaan 8
3584 CH
Utrecht
Department / Institute: Information and Computing Sciences & Pharmaceutical Sciences / Utrecht University
Office: 4.79 & O605
Building: Buys Ballot Building & Hugo R. Kruytbuilding
p.sinitcyn@uu.nl
https://www.uu.nl/staff/PSinitcyn
Our Research
Our research group focuses on developing computational tools for mass spectrometry and proteomics. We aim to enhance algorithms for identifying and quantifying proteins and post-translational modifications, making sense of complex proteomics data. Our approach combines experimental and computational expertise, including bioinformatics and machine learning. With a strong focus on practical biological applications, we actively support multiple collaborations both on campus and internationally.
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