Dr. Daniel Globisch’s Network
Uppsala University
DR. DANIEL GLOBISCH, SCILIFE LAB FELLOW
DEPARTMENT OF MEDICAL CHEMISTRY AND SCILIFELAB, UPPSALA UNIVERSITY
Associate Professor Daniel Globisch started his independent research group in September 2015 at Uppsala University as a Science For Life Laboratory Fellow. He is investigating the metabolic interaction between microbiota and their human host using metabolomics. Daniel defended his PhD thesis in Organic Chemistry in 2011 at the Ludwig-Maximilians-University in Munich using mass spectrometric quantification to investigate modified RNA and epigenetic DNA modifications. He then joined The Scripps Research Institute in La Jolla, USA working on bacterial quorum sensing and he discovered a biomarker for river blindness.
Key words: Chemical Biology, Metabolomics, Microbiota, Biomarker Discovery, Co-Metabolism
Mário Correia, phd student, uppsala University
PhD student Mário Correia started his doctoral studies in 2017, at Uppsala University, in the Department of Medicinal Chemistry, under the supervision of Associate Professor Daniel Globisch. The goal of his investigation is to develop chemical biological tools for metabolomics analysis of human samples targeted at the interaction of microbiota and the human host. Mario has previously defended his master thesis in the University of the Free State and Parexel pty, in South Africa, developing bioanalytical method validation for drugs. He also worked at the Centro de Biologia Molecular Severo Ochoa, In Madrid, Spain.
Louis P. Conway, researcher, Uppsala University
Louis Conway received a PhD in chemistry from Durham University in 2014. After working as a process chemist at Syngenta and postdoctoral research at Nanjing Agricultural University, he is now a Carl Tryggers Stiftelsen funded researcher in the Globisch laboratory at Uppsala University. His main focus is the development of chemical biological tools for enhanced metabolomic analysis of the gut microbiota, and the application of targeted and untargeted metabolomics to a variety of human sample types.