Tomas Cajka
Associate Professor, Department
of Metabolomics, Institute of
Physiology CAS, Prague, Czech
Republic.
Research
Developing novel strategies using
cutting-edge LC–MS technologies
to merge untargeted and targeted
metabolomics methods, expanding
the coverage of spectral libraries
and identification of unknowns
by using in-silico fragmentation
software, and applying these
tools in biomedical research to
ultimately improve human health.
Objective
In untargeted metabolomics, it is
estimated that only 20 percent of
features can be identified – a sad
balance indeed. Hopefully the
field will move toward a higher
identification rate of metabolites
thanks to open-source MS/MS
libraries for more meaningful data
interpretation. I would like to
contribute a few pieces to this big
metabolomic puzzle.
Advice
Make use of every opportunity
and challenge! Easy to say, much
harder to do, of course. However,
solving seemingly intractable
problems has always forced me
to think outside the box and
consequently influenced the
direction of my future research.
Nominator comment: “Tomas is
the most meticulous, creative and
imaginative analytical chemist that
I have ever met.”