Sarmento J. Mazivila was born in Mozambique, on the 25th of September 1985. After finishing high school in Maxixe his hometown, he moved to Maputo the Mozambican capital for his undergraduate studies and graduated in Chemistry Teaching with qualifications in Analytical Chemistry and Classical Univariate Calibration at Department of Chemistry, Pedagogical University of Maputo in 2010. He then moved to Brazil, where completed his M. Sc. degree with qualifications in Chemometrics in Analytical Chemistry and Data Modelling at Institute of Chemistry, Federal University of Uberlândia in 2015. He subsequently moved to Portugal, where received his PhD degree in Analytical Chemistry (Doctoral Program in Sustainable Chemistry), specializing in Chemometric Data Modelling focused on Process Analytical Technology (PAT) concepts (PhD thesis in its third chapter https://hdl.handle.net/10216/127804) as a natural expansion of Process Analytical Chemistry (PAC) or Process Analytics & Control (PAC) at Department of Chemistry and Biochemistry, Faculty of Sciences, University of Porto in 2020. During his PhD, he had an exchange period at Department of Analytical Chemistry, Faculty of Biochemical and Pharmaceutical Sciences, National University of Rosario, Argentina for three months, doing his PhD mobility under the guidance of a top leading chemometrician, Full Professor Alejandro Cesar Olivieri. In early 2021, PhD Mazivila become a Portuguese Citizen (European Citizen) through naturalization after he had been living in Portugal for 5 years. PhD Mazivila has authored 1 book chapter and 23 (18 as first-author) original research articles and tutorial/review papers in highly ranked international peer-reviewed Journals, with an accumulated h-index of 15. He has been acting as a Reviewer of over 45 international journals, including Analytica Chimica Acta, Analytical Chemistry, Chemometrics and Intelligent Laboratory Systems, Journal of Chemometrics, Analyst, Talanta, Fuel, Microchemical Journal, Analytical Methods, as listed in Peer review summary available online at: https://www.webofscience.com/wos/author/record/2104734. His scientific background is in Chemometrics in Analytical Chemistry and Data Modelling. He also has experience in: a) Experimental Design and Multiple Response Optimization using Design-Expert software; b) Discrimination task (to identify the origin of products) relied on conventional hard PLS-DA model; c) Classification task (to authenticate products, like adulteration detection) based on the recently developed soft-modeling in the PLS-DA model as multi-class classification and DD-SIMCA as one-class classification; d) Univariate and first-order multivariate calibrations for linear data (PLS) and non-linear data (ANN/RBF, SVM); e) Multi-way calibration strategies based on advanced chemometric models (MCR-ALS and PARAFAC). After completing his doctoral studies, he joined the LAQV & REQUIMTE - the Portuguese Research Centre for Sustainable Chemistry as a Chemometrician Post-doctoral Scientist, working on two advanced research projects, namely: i) real-time monitoring with focus on PAC and PAT; ii) multi-way data analysis applied to excitation-emission fluorescence matrices acquired from semiconductor quantum dots (QDs) -based sensing nanoplatforms. More recently, he has left the Division 1.4, Process Analytical Technology at BAM Federal Institute for Materials Research and Testing in Berlin, Germany as a Chemometrician/PAT Post-doctoral Fellow. During his time there, he adapted a quality-by-design (QbD) approach through continuous process verification in integrated unit operations that significantly benefits real-time release testing at Lab scale operating in a batch mode and integrated continuous mode, applying advanced chemometric analysis of process data acquired by in- and on-line cutting-edge sensing probes for probing the effect of critical process parameters on monitored intermediate critical attributes.