Sarmento J. Mazivila was born on the 25th of September 1985 and grew up in Mozambique and after finishing high school in Maxixe his hometown, he moved to Maputo the Mozambican capital for his undergraduate studies. He graduated in Chemistry Teaching from the Pedagogical University of Maputo, Maputo-Mozambique in 2010. He subsequently moved to Uberlândia city, Minas Gerais, Brazil to pursue his Master's Degree in Chemistry with emphasis on Chemometrics in Analytical Chemistry (CAC) at Institute of Chemistry, Federal University of Uberlândia (UFU), where completed his MSc Degree in 2015. He subsequently moved to Porto city, Portugal where he received a PhD in Sustainable Chemistry (the new name of Industrial Chemistry as presented by SusChem, www.suschem.org, the European Technology Platform for Sustainable Chemistry) with emphasis on CAC from the Department of Chemistry and Biochemistry, Faculty of Sciences, University of Porto in 2020. The Doctoral Program in Sustainable Chemistry is a joint degree of the University of Aveiro, Nova University of Lisbon, and University of Porto. During his PhD, he stayed for three months at Department of Analytical Chemistry, Faculty of Biochemical and Pharmaceutical Sciences, National University of Rosario, Argentina, doing his PhD mobility under the supervision of Full Professor Alejandro Cesar Olivieri. In early 2021, PhD Mazivila become a Portuguese Citizen (European Citizen) through naturalization after he had been living for 5 years in Portugal. PhD Mazivila has authored and co-authored 21 original research articles and tutorial/review papers in highly ranked international peer-reviewed Journals, with an accumulated H-index of 10. He has been serving as a reviewer of over 30 international journals including Analyst, Talanta, Fuel, Microchemical Journal, Analytical Methods as listed in Peer review summary available online at: https://publons.com/researcher/ABC-1863-2020. His scientific background is in Chemometrics in Analytical Chemistry, more specifically on the application of first-, second- and third-order multivariate strategies coupled to various analytical techniques for the analysis of complex samples. He also has experience in: a) experimental design and multiple response optimization using Design-Expert software; b) classification models, particularly data driven soft independent modeling of class analogy (DD-SIMCA) as one-class classifier and discrimination models with emphasis on partial least-squares - discriminant analysis (PLS-DA) under hard-traditional and modified versions. After completing his doctoral studies, he joined the Associated Laboratory for Green Chemistry (LAQV) of the Network of Chemistry and Technology (REQUIMTE) - the Portuguese Research Centre for Sustainable Chemistry as a Postdoctoral scientist. He has been working on two advanced projects, namely: i) real-time monitoring with focus on process analytical chemistry (PAC) and process analytical technology (PAT), as can be seen in his authored relevant review paper entitled: "A review on multivariate curve resolution applied to spectroscopic and chromatographic data acquired during the real-time monitoring of evolving multi-component processes: From process analytical chemistry (PAC) to process analytical technology (PAT)" doi: https://doi.org/10.1016/j.trac.2022.116698, which has been published in TrAC - Trends in Analytical Chemistry (the most highly regarded and highest-ranked journal directed to Analytical Chemistry); ii) multi-way data processing of excitation-emission fluorescence matrices acquired from semiconductor quantum dots (QDs) sensing platforms, as can be seen in his authored relevant tutorial article with a following reference: A tutorial on multi-way data processing of excitation-emission fluorescence matrices acquired from semiconductor quantum dots sensing platforms, Analytica Chimica Acta 1211 (2022) 339216, doi: https://doi.org/10.1016/j.aca.2021.339216.