Lukasz Krych
  • Rolighedsvej 26, 1958 Frederiksberg C

  • Rolighedsvej 26

    1958 Frederiksberg C

  • Source: Scopus
20112025

Research activity per year

Personal profile

Short presentation

Main research activities

Investigating and understanding the association between gut microbiome and health and disease in human and animal models. Molecular genetic methods and classical microbiology methods for detection, identification and characterization of complex microbial communities. Detection of bacteria, yeast and phages related to food processing and food pathogens. Investigating the influence of diet into microbial composition in in-vivo and in-vitro models of the mammalian gastro intestinal tract. Development and optimization of protocols for 2nd (Illumina based), 3rd (Oxford Nanopores) generation sequencing and high throughput qPCR. Research and development of modern molecular assays used in diagnostics of genetic disorders and pathogen detection in close collaboration with foreign partners GenXone –one of the first in Europe certified laboratory of Oxford Nanopore Technologies. NGS data analysis including amplicon sequencing and metagenomes assembly and annotation (Qiime, C++, R, Matlab, bash). Computer science: hardware assembly and software management of custom-built computers. Construction of Unix-based workstations for advanced data analysis, including servers.

Primary fields of research

  • High-throughput community sequencing
  • Bioinformatics
  • Multivariate data analysis.

 

Teaching

CV

Education

MSc and engineer degree in biotechnology (major: Molecular Diagnostics), University of Life Sciences, Poznan, Poland, 2008.

PhD at University of Copenhagen Copenhagen, Denmark 2014.

Postdoc at Department of Food Science, Faculty of Science, University of Copenhagen (2014-2018)

Current position

Associate Professor at at Department of Food Science, Faculty of Science, University of Copenhagen (2018-?)

 

Keywords

  • Faculty of Science
  • High-throughput community sequencing
  • Multivariate Data Analysis
  • Molecular biology

Collaborations and top research areas from the last five years

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