Prof David Wishart: Tools for Data Integration in Metabolomics
Prof David Wishart (PhD Yale, 1991) is a Professor in the Department of Biological Sciences and Computing Science at the University of Alberta. He has directed a number of core labs over the years and from 2006-2009, Dr. Wishart led the Human Metabolome Project (HMP), a multi-university, multi-investigator project that catalogued all of the known metabolites in human tissues and biofluids. Using advanced methods in NMR spectroscopy, mass spectrometry, multi-dimensional chromatography and machine learning, Prof Wishart and his colleagues identified or found evidence for more than 8000 endogenous metabolites.
Dr Joram Posma: Systemic nutriome-metabolome interactions to understand pathways to disease risk in humans.
Dr Joram Posma is Lecturer in Cancer Informatics at the Imperial College Faculty of Medicine and Health Data Research UK Fellow. He is focused on the development of multivariate statistical and bioinformatics for molecular phenotyping to study pathology and mechanisms of disease, with particular focus on the integration of metabolic networks in data analysis, data fusion techniques and immersive data visualisation for cancer, cardiometabolic diseases, and their interface with nutrition.
Thursday, 3 October 2019.
2.30pm to 4.30pm AWST
ECL2 Lecture Theatre Murdoch University Building 460
We hope you can join us.