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Invited Speakers

Josè Manuel Prats Montalbàn
Universidad Politécnica de Valencia

José Manuel Prats-Montalbán is Full Professor at the Department of Applied Statistics, Operations Research and Quality of the UPV. He joined UPV in 2000, and defended his PhD thesis, "Statistical Process Control by Multivariate Image Analysis" in 2005. He is member of the Multivariate Statistics Engineering Group, where he is in charge of the MIA research line. He published in JCR journals, basically in the field of multivariate statistics and image analysis and he is involved in several projects dealing with the application and development of statistical models in multivariate statistical process control, computer vision and systems biology, such as the application of MIA on prostate cancer.

Francesca Grisoni
Eindhoven University of Technology

Francesca Grisoni is an Asst. Professor at the Eindhoven University of Technology, where she leads the Molecular Machine Learning team. After receiving her PhD in 2016 (University of Milano-Bicocca), Francesca worked as a data scientist and biostatistical consultant. Later, she joined the Univ. of Milano-Bicocca (2017) and ETH Zurich (2019) as a postdoctoral fellow, working on machine learning for drug discovery. Francesca received an ERC Starting Grant, and the Early Career Prize from the Dutch Royal Academy of Arts and Science. Her research focuses on AI for drug discovery, at the interface between computation and wet-lab experiments.

Sergey Kucheryavskiy
Aalborg University

Got a PhD degree in Physics and Mathematics in 2001 and after that took a break and was not active as a researcher. In 2004 started rebooting his carrier and decided to change research interests towards Chemometrics. He has been gradually developing his career as chemometrician since then. Current research interests include chemometrics (both theoretical and applied), image analysis and scientific programming. In his spare time Sergey works on pet-projects which result in various packages, apps, and toolboxes for using and learning chemometrics and related disciplines.

Marco S. do Reis
University of Coimbra

Marco S. Reis is an Associate Professor with Habilitation of Chemical Engineering at the University of Coimbra, Portugal. His research interests include process systems engineering, industrial data science, sensor fusion, hybrid modelling, fault detection/diagnosis/prognosis, predictive analytics, structured process improvement and chemometrics. He was President of the European Network for Business and Industrial Statistics (ENBIS) (2015-2017) and is currently an Honorary Member of this society. He was awarded with the Fulbright scholar fellowship (2020) and is the recipient of the Professor Almiro e Castro Award that distinguishes the scientific merit of a Portuguese researcher or faculty under 45 years old (2018).

Pierre Lebrun
PharmaLEx, University of Liège

Pierre Lebrun got his PhD at the University of Liège with a project to develop mathematical/statistical solutions to speed up in an accurate way the development of analytical methods in many field, such as chromatography and near infra-red spectrometry. He is now Director Statistics at PharmaLex and a scientific collaborator with the University of Liège. His interest falls within different chemometric topics, such as quality by design, analytical development and validation, process analytical technologies (PAT) and process validation, bayesian statistics, design of experiments, multivariate calibration. He is author of several papers published in scientific peer reviewed journals.