Conférenciers invités

Dr. Achim Kohler

Norwegian University of Life Sciences

Ås, Norway

 

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Achim Kohlerobtained his PhD in theoretical physics in 1998. After his PhD he has been working for almost 15 years at Nofima, The Norwegian Institute of Food Fisheries and Aquaculture Research in Norway, where he developed vibrational spectroscopy and related data analysis techniques for food quality and safety analysis. He is currently a professor in physics at the faculty of Science and Technology at the Norwegian University of Life Sciences, in Ås, Norway. Prof. Kohler and his BioSpec group have been keen on understanding and modelling of scattering and absorption in vibrational spectroscopy since almost two decades. His group is highly multidisciplinary combining data science methods with approaches from physics for modelling and understanding of optical effects in biological materials.

Dr. José Manuel Amigo

University of the Basque Country

Spain

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Born in 1978. He obtained his PhD (Cum Laude) in Chemistry from the Autonomous University of Barcelona, Spain. Since 2007 he has been employed at the Department of Food Science of the University of Copenhagen, Denmark, as Associate Professor. During 2017 he is, at the same time, Guest Professor of the Federal University of Pernambuco, Brazil. Current research interests include hyperspectral and digital image analysis, and the application of Chemometrics (i.e. Machine and Deep Learning). He has authored more than 170 publications (120+ peer-reviewed papers, books, book chapters, proceedings, etc.) and given more than 60 conferences and courses at international meetings. Jose has supervised or is currently supervising several Masters, Post Docs and PhD students and he is an editorial board member of four scientific journals within chemometrics, pharmaceutical sciences and analytical chemistry. Moreover, he received the “2014 Chemometrics and Intelligent Laboratory Systems Award” for his achievements in the field of Chemometrics and the “2019 Tomas Hirschfeld Award” for his achievements in the field of Near Infrared.

Dr. Oxana Rodionova

Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences in Moscow.

 

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Oxana Rodionova is a leading researcher at the Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences in Moscow. She is a founding member of the Russian Chemometrics Society, and a member of the Chemometric study group of EUCheMS. Her research activities are focused on various aspects of chemometrics, ranging from development of novel methods (SIC method, DD SIMCA) to the application of existing methods to the real world problems such as process control in the nuclear and pharmaceutical industries, monitoring of medicines quality and counterfeit drug detection together with Russian Federal Service for Surveillance in Healthcare, field-deployment methods for food authentication together FAO/IAEA joint laboratory.

Dr. Pierre Lebrun

PharmaLex Belgium SA.

 

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Pierre Lebrun is Director Statistics at Pharmalex, which Belgium arm is dedicated to statistical expertise. During more than 14 years, Pierre specialized in quality-by-design aspects related to processes and assays, with a strong emphasis on the use of Bayesian statistics to improve knowledge during the process and assay validation stages. Pierre is also a recognized trainer in statistics for the pharmaceutical industry, including design of experiments, Bayesian statistics, statistical process control, and assay development and validation.

Pierre joined the USP panel in charge of the development of the USP 1220 chapter about a holistic approach to assay validation using the concept of the analytical procedure lifecycle. He also gives lecture on DoE at Liège university (Uliège, Belgium) and collaborates with the research team on new chemometrics and statistics methods for analytical development, validation and PAT. Pierre’s work in applied statistics can be found in 150+ international peer-reviewed papers, book chapters and conference proceedings on these subjects. Pierre Lebrun holds a master’s degree in computer sciences and economy, followed by a master in statistics at the university of Louvain-la-Neuve in Belgium. He completed his PhD in statistics from University of Liège.

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