Darren Creek
Monash Institute of Pharmaceutical Sciences, Australia
Associate Professor Darren Creek is Director of the Drug Target Identification node of the Monash Proteomics and Metabolomics Facility. He also leads the Malaria Metabolomics and Proteomics group at the Monash Institute of Pharmaceutical Sciences (MIPS), and is co-coordinator for the MIPS Global Health Therapeutic Program Area. He completed his PhD at Monash University in 2007, and has worked in Uganda, Scotland and Australia on malaria drug discovery, clinical trials, and parasite metabolism. He developed new analytical tools for metabolomics, and has used metabolomics and proteomics to discover new metabolic pathways and drug mechanisms, as described in over 150 publications. He has served on the Boards of National and International Metabolomics Societies and was awarded the Inaugural Metabolomics Society Medal in 2019.
Louis-Félix Nothias
French National Center for Scientific Research (CNRS), France
Dr. Louis-Félix Nothias holds a junior professor chair at the French National Center for Scientific Research (CNRS) where he leads the Experimental & Computational Holobiomics Lab based at the University of Côte d’Azur. He also holds an affiliated chair at the Interdisciplinary Institute for Artificial Intelligence (3iA Côte d’Azur). The Holobiomics Lab develops novel interdisciplinary approaches for studying host/microbial metabolism in holobionts and their microbiomes across three main methodological pillars: 1) innovative mass spectrometry-based metabolomics, 2) multi-omics integration, and 3) applied generative artificial intelligence. These methodological advancements are utilized to investigate holobionts’ metabolism and their interactions within diverse ecosystems.
Previously, Dr. Nothias was an associated researcher at the University of Geneva with Prof. Jean-Luc Wolfender (2021-2023), and a postdoctoral researcher at the University of California San Diego with Prof. Pieter Dorrestein (2016-2021).
Vanessa Tan
University Of Bristol, United Kingdom
Vanessa Tan is a Research fellow at MRC Integrative Epidemiology Unit at the University of Bristol. Her main research interest lies in understanding the mechanisms linking modifiable risk factors and various cancers by integrating evidence from large-scale population studies and laboratory studies. Her current project focuses on understanding the role of metabolites as intermediates between adiposity and endometrial cancer.
Dajana Vuckovic
Concordia University, Canada
Dajana Vuckovic (Hon. B.Sc. Chemistry, University of Toronto; Ph.D. Analytical Chemistry, University of Waterloo; PDF Chemical and Quantitative Proteomics, University of Toronto) is an Associate Professor and Concordia University Research Chair in Clinical Metabolomics and Biomarkers in the Department of Chemistry and Biochemistry at Concordia University. She is also the Director of Concordia’s Centre for Biological Applications of Mass Spectrometry and is a Concordia node leader of The Metabolomics Innovation Centre (TMIC), Canada’s national metabolomics network.
The Vuckovic group develops new analytical methods and devices to improve metabolite coverage and data quality in metabolomics, with primary focus on microsampling and accurate measurement of low-abundance and unstable metabolites in order to facilitate biomarker discovery and validation in cardiovascular disease and nutritional lipidomics. Dr. Vuckovic has co-authored more than 50 publications to date, and has given 55 invited talks and seminars. Her research program has been recognized by the 2023 Fred Beamish Award by the Canadian Society for Chemistry and 2019 Young Investigator Award by the Canadian Society of Mass Spectrometry. Dr. Vuckovic is very active in metabolomics community, including co-chairing Metabolomics 2023 conference, serving as Secretary for Metabolomics Association of North America (MANA) and co-chairing the Best Practices Working Group of the Metabolomics Quality Assurance and Quality Control Consortium (mQACC), whose objective is to harmonize and disseminate best QA/QC practices for untargeted metabolomics.
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