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Title: "Intelligent Omics: Reshaping Biomedical Analysis and Computational Approaches"
Bio: Dr. Nuno S. Osório, PhD, is an Assistant Professor at the University of Minho's School of Medicine and a Principal Investigator at the Life and Health Sciences Research Institute (ICVS), with advanced training from international institutions including Wageningen University and the University of Rochester. He specializes in bioinformatics and infectious diseases, utilizing advanced computational methods to understand human pathogen evolution and develop novel diagnostics and therapeutics. His influential research, published in top-tier journals like Nature Medicine and The Lancet Infectious Diseases, has garnered over 1,000 citations.
A pioneering educator, Dr. Osório integrates AI, data science, and immersive technologies into medical curricula, coordinating innovative courses such as Bioinformatics for Health Sciences and Immersive Technology in Medicine. He is an NBME SEEF Fellow, applying AI to advance clinical competency assessment, and his educational initiatives include collaborations with Stanford's CHARIOT and ClinicalMindAI programs, alongside teaching and leading several international courses in bioinformatics.
Beyond academia, Dr. Osório is Vice President of B-ACIS.pt, promoting medical innovation within the One Health framework, and co-founder of Petridish Software (developer of LabOrders.com), translating research into practical solutions. He has successfully mentored numerous PhD and MSc graduates and actively engages in science outreach.
Title: "Detecting Changes in Time Series"
Abstract: Change points in time series are variations, that can be abrupt or (apparently) subtle, after which the series begins to exhibit different statistical properties.
These variations may be changes in the level, or the trend, but may also be in the dependence structure (or in the distribution) of the time series itself.
In general, change detection is useful in both time series modeling and forecasting, since this extra information can be incorporated into the model, improving models' performance.
In public health, particularly in the field of infectious diseases—one of the areas to which I have dedicated the most in recent years—it is extremely important to study the impact of adopting public policies to control and eliminate (or at least reduce to the limit established by the World Health Organization) these diseases. Of course, detecting changes is crucial in many areas other than public health.
To this end, I have been studying the efficacy of some methods for testing structural breaks or changes in the structure of time series at unknown points in time, including determining the number of such breaks.
Bio: Dulce Gomes is Associate Professor at the Department of Mathematics at the University of Évora and member of the Research Center in Mathematics and Applications (CIMA). She obtained her PhD in Mathematics from the University of Évora (2005), a Master in Probability and Statistics from the Faculty of Sciences from the University of Lisbon (1998) and a B.Sc. in Probability and Statistics at the University of Évora (1994).
Her academic career demonstrates her strong commitment to all aspects of the Academy – teaching (supervision of 30 Theses), research (60 publications), university management. Belongs/belonged to more then 12 interdisciplinary projects with researchers and reference centers in the area of Epidemiology/Public Health of infectious diseases such as Tuberculosis (TB) - studies in Portugal and Brazil -, Leprosy, HIV/AIDS and COVID-19 - studies in Brazil where all these diseases have a high incidence (together with researchers from Spain, Chile and USA).
Throughout her career, she has developed interactivity between university and community: in the dissemination and training in the area of Statistics in Basic and Secondary Education schools, in conjunction with the Portuguese Statistical Society (SPE) and school textbook publishers in their review, and, more recently, with the Ministry of Education as a member of the working group in the creation of the curriculum for the new Essential Mathematics Learning Program for the 1st, 2nd and 3rd cycles of Basic Education (approved on August 2021).
Title: "Ontogenesis and phylogenesis of discrete dynamical systems: generalizing cellular automata"
Abstract: Ontogenesis refers to the developmental changes occurring within individual organisms, while phylogenesis refers to the emergence of stable traits across populations of organisms.
In the context of discrete dynamical systems, ontogenesis can be seen as the evolution or transformation of a system over time — essentially, the study of changing dynamical behaviours. Phylogenesis, in contrast, involves the study of populations of dynamical systems that share certain structural or behavioural characteristics. This perspective requires considering how information is transferred among individual systems, particularly through defined recombination processes.
Earlier findings on cellular automata are extended here to a generalized class, which is called organism automata.
The global perspective of this work is on how biological concepts can be conceptualized in mathematical terms, enabling the systematic study of emergent behaviours, forms, and structures in discrete dynamical systems.
Bio: Prof Carlos Ramos is Associate Professor with habilitation in the Department of Mathematics at the University of Évora, Portugal, where he directs the PhD Programme in Mathematics and coordinates the Dynamical Systems Research Group of the CIMA research centre.
He earned his PhD in Mathematics from the University of Lisbon’s Instituto Superior Técnico in 2006, and holds both an M.Sc. in Applied Mathematics (2001) and a B.Sc. in Technological Physical Engineering (1998) from the same institution. Ramos has published over 30 articles in leading peer-reviewed journals, focusing on symbolic and discrete dynamical systems, operator algebras, complexity theory, and nonlinear dynamics
He has promoted applied research projects across a range of disciplines, including biology, ecology, geology, and related fields. An active member of the CIMA research centre, Ramos plays key roles in departmental and institutional governance. He regularly supervises doctoral and master’s students and has organized several workshops on dynamical systems and complexity. Over the years, he has been actively involved in scientific dissemination and outreach activities, particularly in schools across the Évora region.
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