Tânia Cova completed the degree in Industrial Chemistry from the University of Coimbra in 2009, obtained her MSc degree in Chemistry in 2011, specialized in Quality Control and Environment. In 2018, she obtained a Doctorate degree in Chemistry at the same University, specialized in Macromolecular Chemistry, with several contributions in the areas of supramolecular and computational chemistry, and data science. She was awarded a Junior Researcher contract under the 2nd edition of the Individual Call to Scientific Employment Stimulus 2018 (CEEC 2018) assigned by FCT, and started working at CCC/UC in July 2020. She was also awarded a Ph.D. Transition Fellowship assigned by EIT Health in 2018 intended to support the exploitation of an innovative idea related to the design and production of a targeted transdermal device integrating multifunctional nanocarriers for treating advanced melanoma. She brings together vast experience in computational modeling and simulation applied to pharmaceutical formulation design, and optimization, standing out in the areas of nanotechnology. She has performed computational studies of polyelectrolyte arrangements, including aptamer-containing chains, and also aptamer- and peptide-carbohydrate conjugates as a new strategy to Improve pollutant and drug recognition, and tumor targeting. The main contributions are included in 9 book chapters, 41 scientific articles (h-index 21), 1 international patent, 1 book edition, 1 manual, 4 special issue editions as Guest Editor, 38 oral communications in scientific conferences, 29 conference posters, 6 event organizations, and other ad hoc missions for knowledge transfer directed to undergraduate students. She has received 7 awards and/or honors. She participated as a team member in 7 funded projects and as PI in 3 projects. She has also actively sought competitive funding to support research activities at the University of Coimbra by preparing and submitting 21 national applications and 6 international applications (as PI, Co-PI, or team member in international consortia). She lectured courses in General Chemstry, Chemometrics and Pattern Recognition and Statistical and Multivariate Analysis in R (with 15 completed editions since 2015), at the University of Coimbra, and (co)supervised several MSc and BSc theses. She has also been involved as a jury member, in the organization of international meetings, and in several outreach activities for knowledge transfer directed to undergraduate students. She has developed modeling approaches for understanding the factors that govern the formation of supramolecular nanostructures for drug delivery, water remediation and food preservation resorting to molecular simulations, free-energy calculations and machine learning. The main topics gathered different aspects in quantifying host-guest binding, but her research interests include also the design of coarse-grained models for polyelectrolyte systems and polymer networks for these applications, and timely topics of machine learning and data science addressing multivariate bio/chemical data. She was a research fellow of ERA-NET ProWsper-WaterJPI/006/2016, in which she implemented data science tools for rationalizing and predicting physical-chemical properties and thermodynamic signatures from simulation results of systems directed at removing phytopharmaceutical compounds from water. She is an expert evaluator for the European Commission Horizon Europe programme, including Marie Sklodowska-Curie Postdoctoral Fellowships, having served on 10 international panels.