AGE KLAAS SMILDE'S SEMINAR
Federico Marini is pleased to invite you to the Department seminar
Metabolomics in Health and Nutritional Science
di Age Klaas Smilde
Abstract
Metabolomics is a maturing part of the life sciences encompassing advanced measurements and data analysis. In this talk,both these issues will be discussed with an emphasis on data analysis. There are many application areas of metabolomics but the talk will focus on two of those: health and nutrition. In both areas, metabolomics is often used and has proven to be a powerful tool. This will be illustrated through some real-life examples.
The seminar will be held in room D, floor I building S. Cannizzaro CU014, Friday 13 May p.v. at 12.00.
It can be followed in person or remotely on the Google Meet platform (link available soon).
Age Klaas Smilde
Age Smilde received his MSc in Econometrics at the University of Groningen in 1986. He moved to the Department of Pharmacy in the same city where he did his PhD in Analytical Chemistry. His PhD was on "Multivariate Calibration of Reversed Phase Chromatographic Systems", and he received his degree in 1990. In the year 1992, he visited the Center for Process Analytical Chemistry (Seattle, USA), where he worked together with Prof. Bruce Kowalski.
In 1993 he returned to the Netherlands and in June 1993 became full professor of Process Analysis and Chemometrics at the Faculty of Science of the University of Amsterdam. In January 2004, he started the new group Biosystems Data Analysis at the Swammerdam Institute for Life Sciences at the same university. From 2013 onwards, he is an affiliated professor at the University of Copenhagen. Starting in June 2020, he is also a research professor at Simula Metropolitan Center for Digital Engineering in Oslo. He is the Eastern Analytical Symposium 2006 Award Recipient for Achievements in Chemometrics and the Herman Wold Gold Medal 2021 recipient. Together with Rasmus Bro and Paul Geladi he wrote the book Multiway Analysis: Applications in the Chemical Sciences (2004). Recently, he finished his second book Multiblock Data Fusion in Statistics and Machine Learning, together with Tormod Naes and Kristian Liland (2022).
His research interest is multiway and multiset modeling in the life sciences.