Advanced Python Course.
Funded by the MOMENTUM Program.
UNED-Pontevedra, Galiza, 2025.
This introductory Python course offered by UNED provided a solid foundation in programming with a special focus on image processing and basic machine learning. Through practical exercises, I developed essential coding skills and gained hands-on experience applying Python to data analysis and visual computing tasks.
University Microcredential in Applied Artificial Intelligence.
Funded by the MOMENTUM Program.
University of Salamanca, Spain, 2025.
I completed the Micro-credential in Applied Artificial Intelligence at the Universidad de Salamanca, which integrated both machine learning and deep learning, using a variety of software tools with a special emphasis on Python. Through hands-on sessions and tool-based modules, I enhanced my ability to apply AI techniques in real-world contexts and further developed my modeling and data analysis skills.
Data Mining with R
University of Vigo, Galiza, 2022.
I completed a Data Mining course focused on applying statistical and machine learning techniques using R. The program covered key topics such as data preprocessing, clustering, classification, and regression analysis. Through practical exercises and real datasets, I gained hands-on experience in exploratory data analysis and model evaluation, strengthening my ability to extract meaningful insights from complex data.
The Portfolio as a Tool for Learning and Professional Development.
Funded by the MOMENTUM Program.
CSIC, Madrid, 2025.
This online microcredential, offered by CSIC, focuses on the creation of ePortfolios as a complementary tool to the traditional CV. The course highlights how ePortfolios can document achievements, skills, and learning processes, while also providing strategies to effectively showcase professional growth and align personal goals with career aspirations.
Thanks to this course, and after analyzing various examples of studied portfolios, the personal website has been redesigned to better reflect acquired skills and achievements.
Inverse problems for multi-scale models.
University of Bonn, Germany, 2022.
This in-person course, organized by Professor Jan Hasenauer, featured sessions led by world-class experts in stochastic modeling and inverse problems who delivered theoretical seminars. Practical sessions focused on learning how to use advanced tools such as StochSSLive and pyABC for addressing inverse problems. Additionally, networking sessions provided opportunities to discuss individual research lines and foster professional connections. The course was highly enriching, offering valuable insights into the current state-of-the-art methodologies in inverse problems. Here a link with the program. For more details, click here to access the program.
Advanced Lecture Course on Computational Systems Biology.
CNRS, France, 2015.
This CNRS course, delivered by the Computational Systems Biology Team at Inria, combined lectures and hands-on practical work on systems biology modeling, parameter estimation, and control. It featured excellent speakers and greatly strengthened my quantitative modeling and data analysis skills. More details, click here.
Summer school in metabolic modeling.
University of Minho, Portugal, 2022.
This fantastic summer school, organized by Professor M. Rocha from the University of Minho, introduced state-of-the-art metabolic modeling, covering the entire process from model reconstruction to phenotype predictions and analysis. The course was highly practical, featuring hands-on sessions with advanced tools and fostering significant interaction with both peers and instructors. It provided an excellent opportunity to deepen my knowledge in metabolic modeling while engaging in collaborative learning. More details, click here.
Introduction course of Hadoop.
University of A Coruña, Galiza, 2015.
During my PhD, I attended this course organized by the University of A Coruña, which provided an introduction to Hadoop. The course allowed me to experiment with several algorithms from my thesis using this distributed technology. This hands-on experience was instrumental in understanding how Hadoop can be leveraged for processing large datasets efficiently and exploring its potential applications in research.
Introduction course of mathematical optimization.
University of Santiago de Compostela, Galiza, 2013.
At the beginning of my PhD, I attended this excellent introductory course on mathematical programming, taught by Professor E. Carrizosa from the University of Seville. This course helped me clarify many concepts that were new to me within the field of mathematical programming. It provided a solid foundation that was instrumental in understanding the fundamental principles of optimization and applying them to my research.
Decomposition Techniques in Mathematical Programming.
University of Santiago de Compostela, Galiza, 2018.
This course, taught by Professor Antonio J. Conejo from The Ohio State University, focused on multiple mathematical decomposition techniques. While primarily tailored for mathematicians specializing in Operations Research, it offered valuable insights that required significant effort to fully grasp due to its advanced nature. The knowledge gained proved instrumental in other research projects, such as simplifying mathematical models for wildfire suppression through decomposition methods. Additionally, the techniques explored hold promising potential for future applications in parallelization using High-Performance Computing (HPC).
SOA/WOA course.
CESGA foundation, Galiza, 2010.
This in-person course, organized by the CESGA Foundation, provided a comprehensive introduction to Service-Oriented Architecture (SOA) and Web-Oriented Architecture (WOA). It focused on practical sessions where participants explored the principles and applications of these architectures. The course was an excellent opportunity to gain hands-on experience with technologies that are fundamental for modern web services and distributed systems.