My name is Flávia P. Morais (born in 1994), and I have a BSc (2015) and MSc (2017) in Medicinal Chemistry, and a PhD (2022) in the field of Materials Science and Engineering, at University of Beira Interior. Over the years, I have worked as a researcher at the FibEnTech-UBI research unit in different subjects, including: (1) the design and development of drug delivery systems, incorporating bioactive products and biomaterials at micro and nano-scale, for pharmaceutical, biomedical and cosmetic applications; (2) the synthesis of active molecules from medicinal plants; (3) the characterization and validation using different techniques/ technologies such as SEM, FTIR-ATR, UV-Vis, DSC, CQO, TOC, HPLC, GC-MS, TLC, XRD, among others; and (4) the use of computational tools for protein docking, molecular modeling, data treatment and analysis, and simulation to optimize new biocompatible and biodegradable matrixes formulations, and understanding/ investigating the molecular drug action mechanisms. Among all the activities and projects that I have carried out in these years, I can highlight the development and validation of new methodologies and formulations/ products, the participation and organization of different scientific meetings and visits to chemistry laboratories, as well as the cosupervision of B.Sc. degree projects and teaching of master's laboratory and theoretical chemistry classes. I did my Ph.D. with an industrial R&D project grant in the field of biomaterials, associated with a company with a high international profile, The Navigator Company, and in collaboration with the research institute RAIZ, Aveiro, Portugal. Some of my duties included the (1) characterization, validation and modeling of different biomaterials; (2) the investigation of new formulations and methodologies by applying sustainable chemical and engineering strategies using enzymes and biopolymers; and (4) industrial process optimization using Artificial Intelligence and Machine Learning solutions and advanced computational tools, such as the development of robust mathematical models using R, MATLAB and SPSS. I also supported the industrial process, in order to analyze, validate, optimize, and manage the production, with data acquisition and treatment using multivariate analysis statistics, industrial sample collection, and up-scaling strategies. My functions also included the evaluation and execution of reports, technical-economic analysis, technical-scientific presentations, and progress status. Whenever an unforeseen work situation occurs, I have always the attitude to immediately tackle it and think of a solution to solve it in the quickest time possible. I have good communication, planning, and interpersonal skills improved over several national and international scientific meetings that made me step out of my comfort zone. When in contact with the company associated to my Ph.D., I always take initiative to solve any issues that may appear and solve them with the highest standards. Thus, I would like the opportunity to demonstrate that I would learn the skills required for the work and apply them to help the team perform their tasks.