Umesh Kalathiya received his habilitation degree in the field of biological sciences and is currently working at ICCVS, University of Gdansk. He obtained his PhD degree in 2018 in chemical sciences from the Faculty of Chemistry, Gdansk University of Technology, and graduated in bioinformatics from Wroclaw University of Technology. In addition, he received training from the Masaryk Memorial Cancer Institute, Czech Republic and Indian Institute of Technology (IIT), New Delhi. His current projects are funded by the National Science Centre, Poland, and his PhD was funded by the Polish National Agency for Academic Exchange (NAWA). He has expertise in working with proteomics and transcriptomics large datasets along with the identification or characterization of proteins/peptides from mass spectrometry/immunopeptidomics datasets. He believes that the network between the protein–RNA or protein–protein or RNA–RNA components could be traced using the structural computational biology methods with the use of mass spectrometry (MS)-based structural techniques (crosslinking; XL-MS).
Umesh Kalathiya received his habilitation degree in the field of biological sciences and is currently working at ICCVS, University of Gdansk. He obtained his PhD degree in 2018 in chemical sciences from the Faculty of Chemistry, Gdansk University of Technology, and graduated in bioinformatics from Wroclaw University of Technology. In addition, he received training from the Masaryk Memorial Cancer Institute, Czech Republic and Indian Institute of Technology (IIT), New Delhi. His current projects are funded by the National Science Centre, Poland, and his PhD was funded by the Polish National Agency for Academic Exchange (NAWA). He has expertise in working with proteomics and transcriptomics large datasets along with the identification or characterization of proteins/peptides from mass spectrometry/immunopeptidomics datasets. He believes that the network between the protein–RNA or protein–protein or RNA–RNA components could be traced using the structural computational biology methods with the use of mass spectrometry (MS)-based structural techniques (crosslinking; XL-MS).