Jorens Kviesis, Dr. Chem., senior researcher in Laboratory of the National Center of Forest and Water Research, Faculty of Geography and Earth Sciences, University of Latvia. He defended his PhD thesis in 2007, at the University of Latvia Faculty of Chemistry (Riga). He received a Chemical Engineer Diploma (2001). J. Kviesis was a postdoc researcher in 2008 in the Latvia State Institute of Fruit-Growing. Starting from 2013 he has worked in the Dethe partment of Environmental Science (Laboratory of Natural Product research, Laboratory of Environmental Technologies). Jorens Kviesis is author and co-author of more than 20 scientific publications. His interests include environmental pollution and environmental impact assessment. He has knowledge and practical experience in the field of technological processes. The main research areas are centered on the research of medicinal plants and wild berries using combinations of different chromatographic techniques (TLC, HPLC(UV, FLR, MS/MS), UPLC(TOF-MS), and GC(MS/MS, TCD, FID)).
Jorens Kviesis, Dr. Chem., senior researcher in Laboratory of the National Center of Forest and Water Research, Faculty of Geography and Earth Sciences, University of Latvia. He defended his PhD thesis in 2007, at the University of Latvia Faculty of Chemistry (Riga). He received a Chemical Engineer Diploma (2001). J. Kviesis was a postdoc researcher in 2008 in the Latvia State Institute of Fruit-Growing. Starting from 2013 he has worked in the Dethe partment of Environmental Science (Laboratory of Natural Product research, Laboratory of Environmental Technologies). Jorens Kviesis is author and co-author of more than 20 scientific publications. His interests include environmental pollution and environmental impact assessment. He has knowledge and practical experience in the field of technological processes. The main research areas are centered on the research of medicinal plants and wild berries using combinations of different chromatographic techniques (TLC, HPLC(UV, FLR, MS/MS), UPLC(TOF-MS), and GC(MS/MS, TCD, FID)).