Preliminary Programme#
We will use two classrooms for EPIC 3, which are located in different buildings:
- For the talks: SEPA-A06, 1st floor, Senescyt building (not the ground floor)
- For the tutorials: LAB-PB09, ground floor, E2-E3 building
Day 1: Monday 14 August 2023#
Computational Physics Tools and Data Analysis#
Morning session (08h00 - 10h00)#
Location: Classroom SEPA-A06, 1st floor, Senescyt building
08h00 - 08h15: Registration#
08h15 - 08h40: Welcome to EPIC3 and a short introduction from PWF#
08h40 - 09h20: Helga Dénes, PhD (Yachay Tech, Ecuador) - The frontiers of Computational Physics#
Abstract: Today computers and computation is part of everyday life and one of the essential components of science. To name some examples, our mobile phones are more sophisticated computers than the first PCs, our IDs tend to be digital, everyone has emails and most people have mobile banks. In the last few months the new artificial intelligence (AI) softwares have generated much attention, however AI has been behind many computer applications for several years. Computation in the sciences has had a long history since the planning of the first Moon Landing in the 1960 to todays most advanced supercomputers. One of the obvious fields of scientific computing is the more and more complex theoretical computer simulations that drive the development of supercomputers. Another important fields are the computers that power the instruments of experimental research. For example, the brains of modern radio telescopes and large particle accelerators are supercomputers as well. In addition, to taking and generating data it is also essential to have the tools to analyse, visualise and disseminate this data. Having a good knowledge of computing these days can open the doors for working in sciences, in industry and in public offices.
About the Speaker: PhD in Astrophysics from Swinburne University of Technology.
09h20 - 10h00: Clara Rojas, PhD (Yachay Tech, Ecuador) - Analysis of the generalized Starobinsky inflationary model#
Abstract: In this work we solved the equation of scalar and tensor perturbations for the generalized Starobinsky inflationary model using the improved uniform approximation method and the phase-integral method up to third-order in deviation. We compare our results with the numerical integration. We have obtained that both semiclassical methods reproduce the scalar power spectra \(P\), the scalar spectral index \(n_S\), and the tensor-to-scalar ratio \(r\). Also we present our results in the \((n_S,r)\) plane.
About the Speaker: Clara Rojas tiene un Ph. D. en Ciencias mención Física en el Centro de Física del IVIC (Venezuela). Intereses: Cosmología Inflacionaria y Mecánica Cuántica Relativist
Coffee Break (10h00 - 10h40)#
Location: Classroom SEPA-A06, 1st floor, Senescyt building
Midday session (10h40 - 12h20)#
Location: Classroom LAB-PB09, E2-E3 building 1st floor
10h40 - 12h20: Wladimir Banda-Barragán, PhD (Yachay Tech, Ecuador) - Hands-on Tutorial 1: Monte Carlo simulations for physics
Abstract: In this tutorial you will learn to carry our Monte Carlo simulations in python with the purpose of studying physical systems. There will be guided examples on how to carry out Monte Carlo simulations, and you will have time to work on a proposed problem too.
About the Speaker: Wladimir Banda-Barragan tiene un Ph. D. en Astronomía y Astrofísica de Australian National University
Lunch Break (12h20 - 14h20)#
Afternoon session (14h20 - 16h00)#
Location: Classroom LAB-PB09, E2-E3 building 1st floor
14h00 - 16h00: Wladimir Banda-Barragán, PhD (Yachay Tech, Ecuador) - Hands-on Tutorial 2: Fast Fourier Transform methods for fluid dynamics#
Abstract: In this tutorial you will learn to use Fast Fourier Transform algorithms in python to solve parabolic and hyperbolic partial differential equations. There will be guided examples on how to solve the fluid dynamics equations and you will have the chance to work on proposed problems too.
About the Speaker: Wladimir Banda-Barragan tiene un Ph. D. en Astronomía y Astrofísica de Australian National University
Day 2: Tuesday 15 August 2023#
Machine Learning for Physics and Life Sciences#
Morning session (08h00 - 10h00)#
Location: Classroom SEPA-A06, 1st floor, Senescyt building)
08h00 - 08h40: Andrés Morales Navarrete, PhD (U. Konstanz, Germany) - Using deep learning to understand fish development#
Abstract:
About the Speaker:
08h40 - 09h20: Zenaida Castillo, PhD (Yachay Tech, Ecuador) - Pseudospectra of matrices and its computation
Abstract: The Pseudospectra is a powerful tool to analyze the behavior of dynamic systems associated to non-normal matrices. Studies and applications have increased in the last decades, thus, its efficient computation has become of interest for the scientific community. In the large scale setting, different approaches have been proposed, some of them based on projection on Krylov subspaces. In this talk, we will present a scheme for the parallel computation of the Pseudospectra, based on a domain decomposition of the interest region into subregions that can be assigned to a set of processors in order to accelerate the computation.
About the Speaker: Zenaida Castillo (PhD): Profesor/Investigador con formación inicial en Ciencias Computacionales, ha obtenido títulos de maestría en Matemáticas Aplicadas y también en Ciencias de la Computación, y finalmente un PhD en Matemáticas aplicadas y Computacionales, otorgado por la Universidad de Rice, en USA. Tiene 25 años de experiencia en la docencia en Educación Superior, y ha ocupado diferentes cargos en la Academia. Su trabajo de investigación gira en torno a la implementación eficiente de métodos para el cálculo numérico, en particular para el cálculo de autovalores y autovectores de matrices de gran magnitud.
09h20 - 10h00: Gustavo Loachamin, MSc (PUC Rio de Janeiro, Brasil) - The framework ROOT CERN and its use in particle physics#
Abstract: Data analysis is a key component of experimental physics, this is why the knowledge of frameworks and programming languages is necessary for physicists. In particle physics for example, the ROOT framework is widely used because of its graphical interface for interactive analysis and its capacity to store and analyze large sets of data of more than 1 exabyte. In this talk, I will be introducing briefly the functionality of ROOT and relating it to my own research: the amplitude analysis of three-body decays.
About the Speaker: I did my undergraduate studies at the University of British Columbia in Vancouver, Canada with a scholarship from the Ecuadorian government. At UBC, I obtained the degree of Bachelor of Science in Honours Physics with distinction. During my years at UBC, my interest in particle physics started growing and I was involved in a small project for the TREK collaboration, that was testing lepton universality. After I finished, I moved to Brazil and started working for the LHCb collaboration and obtained the Master in Physics in the area of particle physics and fields. My research for the LHCb was focused on the amplitude analysis of a three-body decay.
Coffee Break (10h00 - 10h40)#
Location: Classroom SEPA-A06, 1st floor, Senescyt building
Midday session (10h40 - 12h20)#
Location: Classroom LAB-PB09, E2-E3 building 1st floor
10h40 - 12h20: Andrés Morales-Navarrete, PhD (U. Konstanz, Germany) - Hands-on Tutorial 3: Introduction to BioImage Analisys with Python#
Abstract: Explanation about bioimages (i.e. fluorescence microscopy), Bioimage analysis example: quantifying cell morphology from 2D fluorescence micrographs, Importing images and plotting images, Logical operators (pixel-wise operations), Intensity Transformation, Filters and Fourier transformations, Segmentation, Extracting data from segmented images (e.g. cell area, elongation).
About the Speaker: PostDoctoral Researcher - Zerial Group, Max-Planck-Institute of Molecular Cell Biology and Genetics, Dresden - Germany
Lunch Break (12h20 - 14h20)#
Afternoon session (14h20 - 16h00)#
Location: Classroom LAB-PB09, E2-E3 building 1st floor
14h00 - 16h00: Andrés Morales-Navarrete, PhD (U. Konstanz, Germany) - Hands-on Tutorial 4: Deep learning for analisys and modelling of biological systems#
Abstract: Explanation about bioimages (i.e. fluorescence microscopy), Bioimage analysis example: quantifying cell morphology from 2D fluorescence micrographs, Importing images and plotting images, Logical operators (pixel-wise operations), Intensity Transformation, Filters and Fourier transformations, Segmentation, Extracting data from segmented images (e.g. cell area, elongation).
About the Speaker: PostDoctoral Researcher - Zerial Group, Max-Planck-Institute of Molecular Cell Biology and Genetics, Dresden - Germany
Day 3: Wednesday 16 August 2023#
Materials Science and High-energy Physics#
Morning session (08h00 - 10h00)#
Location: Classroom LAB-PB09, E2-E3 building 1st floor
08h00 - 10h00: Edison Salazar, PhD (U. Leiden, Netherlands) - Hands-on Tutorial 5: Excited-state dynamics: Tully scheme implementation and models (live virtual)#
Abstract: Photoinduced processes play a crucial role in different fields of science, for example, the photoisomerization of the retinal chromophore or the synthesis of vitamin D3. Additionally, they are crucial in the development of new technologies such as molecular electronic devices which can be controlled by light. These processes are governed mainly by nonadiabatic transitions which are radiationless electronic transitions between different non-Born-Oppenheimer states along the dynamic of a chemical reaction. In these two lessons, we are going to implement the Tully algorithm in Python to study a simple avoid crossing model as the first approach to a non-adiabatic transition.
About the Speaker: Postdoctoral researcher - Applied Quantum Algorithms (AQA) group, Lorentz Institute for Theoretical Physics, Leiden University, Leiden, Netherlands
Coffee Break (10h00 - 10h40)#
Location: Classroom SEPA-A06, 1st floor, Senescyt building
Midday session (10h40 - 12h20)#
Location: Classroom LAB-PB09, E2-E3 building 1st floor
10h40 - 11h20: Nelson Herrera Aráuz, PhD (UIDE, Ecuador) - Realidad histórico-astronómica de la línea ecuatorial y la reedición del experimento del geógrafo Charles de La Condamine#
Abstract: Relatos y referencias históricas de las circunstancias e incidencias que llevaron a la creación del metro como unidad de medida de longitud por parte de los académicos de la Mision Geodesica francesa en Quito el año de 1744.
About the Speaker: Nelson Herrera Aráuz nació en Quito octubre de 1950, realizó sus Estudios secundarios Colegio Central Técnico, estudios superiores en Ingeniería Electrónica en la Escuela Politécnica Nacional; Estudios de Matematica Pura, en la Escuela de Ciencias, de la Universidad Central del Ecuador, Electromecánica; Instituto José Antonio Echeverria La Habana Cuba, Física Universidad de Montpellier Francia. Cuenta con Investigaciones y experiencias científicas en Praga y Varsovia. Estudio teórico - experimentales documentado sobre fenómenos y perturbaciones magnéticas causadas por el eclipse solar del 11 de julio de 1991. Profesor Emérito en Cátedra sustentada por 25 años a la fecha de Matemáticas, Física y Circuitos Digitales en la Escuela de Ingeniería mecánica automotriz, de la Universidad International del Ecuador.
11h20 - 12h00: Diego Fabián Morales Navarrete, PhD (Yachay Tech, Ecuador) - Modeling and estimating geo-referenced count spatial data with excessive zeros#
Abstract: Modelling spatial data is a challenging task in statistics. In many applications, the observed data can be modelled using Gaussian, skew-Gaussian or even restricted random field models. However, in several fields, such as population genetics, epidemiology, and population dynamics, the data of interest are counts with excess of zeros in some cases, and therefore the mentioned models are not suitable for their analysis. Consequently, there is a need for spatial models that can adequately describe data coming from counting processes and handle the excess of zeros in data.
About the Speaker: I am a mathematical engineer working on theoretical approaches for modelling spatio-temporal non-gaussian data. I am particularly interested in working on the theoretical and methodological development of space-time stochastic models for non-Gaussian data. I completed an undergraduate program in mathematical engineering at Escuela Politécnica Nacional in Quito-Ecuador. Then, I worked as a researcher and statistician in public and private companies in Ecuador for a few years. In the beginning of 2022, I obtained a Ph.D. degree in Statistics at the Department of Statistics of Pontificia Universidad Católica de Chile. As a doctoral researcher under the supervision of Prof. Mauricio Castro and Prof. Moreno Bevilacqua, I was working on developing novel approaches for modelling spatial and spatio-temporal count data. Additionally, I was part of the Center for the Discovery of Structures in Complex Data MiDas as a PhD student and guest researcher at the Department of Biology at the University of Konstanz. Currently, I am a research professor at Yachay Tech University.
Lunch Break (12h20 - 14h20)#
Afternoon session (14h20 - 16h00)#
Location: Classroom LAB-PB09, E2-E3 building 1st floor
14h20 - 15h10: Alejandro Gómez Espinosa, PhD (ETH, Switzerland) - Hands-on Tutorial 4: Intro to Particle Physics Analysis with Python#
15h10 - 16h00: Alejandro Gómez Espinosa, PhD (ETH, Switzerland) - Hands-on Tutorial 5:How to discover particles in LHC data using Python#
Evening session (18h00 - 20h00)#
18h00 - 20h00: Public talk
Day 4: Thursday 17 August 2023#
Astrophysics and Computing#
Morning session (08h00 - 10h00)#
Location: Classroom LAB-PB09, E2-E3 building 1st floor)
08h00 - 09h20: Helga Dénes, PhD (Yachay Tech, Ecuador) - Hands-on Tutorial 4: How to analyse 3D astrophysical data cubes#
Abstract: Brief explanation on astrophysics behind galaxies and their neutral hydrogen (HI content). Reading in fits data cubes (3D spectral line data - HI data of a galaxy). Plotting slices of the 3D data cube and making moment maps. Downloading astronomical images from a database (for the same galaxy as the HI data). Making an overlay of the HI data onto an optical image. Calculating some basic statistics for the spectra. Averaging the spectra for the galaxy. Calculating the HI mass of a galaxy. Fitting a Gaussian to spectra
About the Speaker: PhD in Astrophysics from Swinburne University of Technology.
09h20 - 09h40: Roberto Jácome, UIDE - Loxa Smart, a protoype of smart and sustainable city#
Abstract: This work presents a study that combines vehicle counting and contamination analysis in the city of Loja - Ecuador. The increasing urbanization and traffic congestion in cities have raised concerns about air quality and its impact on public health. Understanding vehicular activity patterns and their contribution to air pollution is crucial for effective urban planning and the implementation of sustainable transportation strategies. The study utilizes a combination of computer vision techniques and sensor data to accurately count vehicles in a traffic intersection. A vehicle detection algorithm is employed to process and obtain vehicle counting in this intersection. The collected data measures include particulate matter (PM2.5, PM10), temperature, and humidity. The study also highlights the impact of seasonal variations on contamination levels and with the help of a time-series predicting algorithm, estimate the values of the mentioned data. The objective of this study is to obtain a low-cost prototype for smart cities that can serve as a valuable resource for city authorities and environmental agencies to design data-driven urban policies. Additionally, the research serves as a foundation for future studies to explore more sophisticated approaches to mitigate vehicle emissions and create sustainable urban environments.
09h40 - 10h00: Milton Palacios, UIDE - Detección de la atención en clases virtuales a través de las acciones en el ordenador#
Abstract: TBD
Coffee Break (10h00 - 10h40)#
Location: Classroom SEPA-A06, 1st floor, Senescyt building
Midday session (10h40 - 12h40)#
Location: Classroom SEPA-A06, 1st floor, Senescyt building
10h40 - 11h00: Andrés Villares, Fís (Yachay Tech, Ecuador) - Hydrodynamic shielding in galactic multicloud outflows#
Abstract: Galactic winds are multi-phase outflows of energy and matter leaving star-forming galaxies. Emission and absorption line observations reveal that these winds are multiphase and turbulent. They contain molecular, atomic, and ionised components characterized by different densities and temperatures. The hot phase of galactic winds typically encounters interstellar clumps of cold gas and dust clouds. However, the detection of cold gas at significant distances from the centres of galaxies is a mystery given the ease with which cold clouds can be disrupted. Therefore, numerical simulations are essential to comprehend the underlying physical processes behind cold gas survival. In this project, we carry out a suite of 3D hydrodynamical simulations of a supersonic wind interacting with a multi-cloud arrangement of multiple clouds travelling together. We study how radiative cooling and different cloud separation distances influence their evolution. We find that the lifetime of dense and cold material in radiative clouds is longer than in their adiabatic counterparts. This is attributed to the condensation of warm gas, which effectively sustains the dense gas in the flow. When clouds are further apart, they are more likely to generate dynamical instabilities, leading to higher degrees of mixing and dense gas destruction. Conversely, when clouds are closer, the condensation mechanism is particularly important owing to hydrodynamic shielding, which helps to maintain the cold material throughout the entire evolution. The velocity of the clouds decreases as the cloud separation distance decreases, as this arrangement triggers the generation of large column densities. Hydrodynamic shielding and radiative cooling are thus found to be effective in maintaining cold dense gas for extended periods of time.
About the Speaker: Físico por la Universidad Yachay Tech
11h00 - 12h40: Contributed talks#
- Isabel Balvoa, ESPOCH - Identificación del alineamiento global óptimo para dos genomas del virus de Papiloma Humano
Abstract: El virus del Papiloma Humano es un virus ADN de doble cadena, miembro de la familia Papollomaviridae. Es un virus que infecta principalmente células epiteliales cutáneas y mucosas. Este virus presenta varios tipos; sin embargo, los tipos HPV16 y HPV18 son considerados de alto riesgo, asociados con cánceres cervicouterinos, a nivel mundial es causante del cuarto cáncer más frecuenta en mujeres. La alineación es un proceso para comparar dos secuencias biológicas, en este caso ADN con el objetivo de determinar el grado de similitud. En la presente investigación se utilizaron tres herramientas de alineamiento global, que usan el algoritmo de Needleman-Wunsch, para comparar dos secuencias de genoma del virus del Papiloma Humano, ACCESSION NC_001526 (type 16) y ACCESSION NC_027779 (isolate SE379). Conforme los resultados obtenidos, se determinó que el uso de la herramienta GGSEARCH2SEQ, con la interacción de los parámetros v1, apertura de brecha (–2) y extensión de brecha (-1), presentó los valores más altos de similitud con 50,4%, identidad con 50,4% y un score de 30369.
- Mayra Tualombo, Yachay Tech - Predicting Dementia Based on Menopause as a Risk Factor Using Variational Autoencoders
Abstract: There is increasing evidence that menopausal changes can have an impact on women’s cognition and can be a risk factor for the development of dementia. Some studies try to explain the relationship between the predominance of dementia linked with postmenopausal hormones. However, the evidence is mixed, with some showing positive effects while others show no or even negative effects. In this investigation, we considered some variables related to the interested health condition. The results obtained through the application of Variational Autoencoders reflect variables’ relationship to physical, emotional, and biological effects. Furthermore, this study explains the preponderance of dementia among postmenopausal women compared with same-age men supporting a tentative role of their predominance of suffering from dementia.
- Christian Palma, USFQ - Dimensión Fractal de Objetos 2D: Caso Embalse Daule Peripa
Abstract: La dimensión fractal de un objeto (n-1)-dimensional es estudiada para analizar la complejidad y autosimilaridad que presenta el mismo en un espacio n-dimensional. En la naturaleza existen cuencas hidrográficas que presentan una expansión en forma de fractal a lo largo de sus cauces si son observadas como líneas unidimensionales. En este proyecto se presenta una implementación del algoritmo de conteo de cajas (box counting) en Python para estimar la dimensión fractal de la cuenca hidrográfica del embalse Daule Peripa en Guayas, Ecuador; siendo esta 1.7.
- Karla Conde, UIDE - Análisis de sentimientos en redes sociales de las Elecciones presidenciales electorales 2023 usando procesamiento de lenguaje natural
Abstract: Con las próximas elecciones presidenciales 2023, extraer datos en las páginas de Facebook es un recurso importante para comprender las tendencias políticas la plataforma. El conocimiento de las tendencias políticas dentro de las redes sociales da un aproximado en cuanto a datos para definir cuales son los candidatos que estan teniendo mas acogida y con mayor probabilidad para ganar dichas elecciones. Con este análisis se solventa la predicción e interpretación de emociones y sentimientos que tienen los votantes hacia los candidatos y temas políticos. Se evalúa el nivel de participación ciudadana e interés por la política durante las campañas electorales. En conclusión, utilizar técnicas de minería de datos para explotar la información de Facebook, plataforma que es influyente en debate político y compromiso cívico, ayuda a comprender las opiniones y tendencias preferenciales de los votantes, usando procesamiento de lenguaje natural y minería de datos.
- Daniel Gustavo Cordova, UIDE - Mineria de datos para la Optimización de tiempos en el Transporte Urbano en la ciudad de Loja
Abstract: El artículo presenta un enfoque innovador para abordar los desafíos de eficiencia en el transporte urbano de Loja. Mediante la aplicación de minería de datos, aprendizaje automático y visualización de datos, se analiza un dataset con información sobre buses y tiempos de llegada. Los resultados revelaron patrones clave, horarios de mayor demanda y posibles retrasos en las paradas, lo que permitirá optimizar la programación de buses, reducir tiempos de espera y mejorar la eficiencia del transporte. Además, el estudio identificó rutas congestionadas, lo que permitirá implementar mejoras adicionales para abordar problemas de tráfico. Este proyecto ha sido valioso al proporcionar información crucial para ofrecer un servicio de transporte más confiable y eficiente, lo que aumentará la satisfacción de los usuarios y mejorará la calidad general del transporte urbano en Loja. En resumen, este enfoque resalta la importancia de la minería de datos en la toma de decisiones estratégicas para el mejoramiento del transporte urbano.
- Lizbeth Lara, Yachay Tech - Star Formation Rates and Dust Masses of resolved regions for The nearby Galaxy NGC3938 with H alpha maps and TolTEC Simulations
Abstract: The TolTEC camera is installed on the Large Millimeter Telescope. While waiting to start making the first observations, we have simulations of the observations that are planned to be made. These are simulated by TolTEC - Mexico and Liverpool Telescope - Spain. In this work, we will start from these simulated observations to perform their treatment, photometry and later analyze them. The observations to be used correspond to the nearby spiral galaxy NGC 3938 where it is expected to detect and measure cold dust as a tracer of star-forming gas. The objective of this work is to measure star formation rates, flux intensity for the different star forming groups in the nearby galaxy; to derive the physical properties of the clumps in the nearby galaxy, such as dust mass, gas mass and dust emission temperature by spectral energy distribution (SED) fits. In addition to presenting the finding of the ratio of star formation rates versus dust mass for regions resolved in H alpha and TolTEC maps for 1.1mm, 1.4mm, and 2.0mm.
- Vicente Arévalo, Yachay Tech - A brief overview on CTA science
Abstract: The Cherenkov Telescope Array (CTA) will be the major global observatory for very high energy gamma-ray astronomy over the next decade and beyond. It allows us to understand different phenomena such as the role of the relativistic cosmic particles, and the understanding of dark matter. For this reason it is important to introduce students in this kind of area that will be a good opportunity to unveil physics.
Lunch Break (12h20 - 14h20)#
Afternoon session (14h20 - 16h00)#
14h20 - 16h00: Campus Tour Yachay Tech#
Day 5: Friday 18 August 2023#
EPIC 3 Student Presentations and Diversity in Science#
Morning session (08h00 - 10h00)#
Location: Classroom SEPA-A06, 1st floor, Senescyt building
08h00 - 10h00: Student group talks#
Group 1: Monte Carlo methods
Group 2: Computational Fluid Dynamics
Group 3: Bio-image analysis
Group 4: Deep learning methods
Group 5: Materials Science A
Group 6: Materials Science B
Group 7: Particle Physics
Group 8: Astrophysics A
Group 9: Astrophysics B
Coffee Break (10h00 - 10h40)#
Location: Classroom SEPA-A06, 1st floor, Senescyt building
Midday session (10h40 - 12h30)#
Location: Classroom SEPA-A06, 1st floor, Senescyt building
10h00 - 10h40: Paulina Vizcaíno Imacaña, PhD (UIDE, Ecuador) - La vocación de las mujeres para estudiar carreras STEM: una mirada de Ecuador
Abstract: The social and historical construction of the role of women in society has been the subject of study of several feminist theories, which attempt to highlight the dichotomy in philosophical and sociocultural thought that validates the distribution of activities based on sex. The public, rational and technical has been relegated to men, while women represent the sensitive, emotional and private. This structure of stereotypes that is reproduced generationally allows us to discern the reasons why there are fewer women pursuing STEM careers. Identifying the reasons that drive women in their choice of a university career allows us to establish strategies to promote the vocation of women who are oriented towards science, technology, engineering and mathematics in Ecuador. The research also seeks to quantitatively evaluate the academic performance of women in STEM careers; and to analyze the participation of women in the field of research in higher education.The objective of the project is to analyze the factors motivating women to pursue STEM careers in Ecuador, Kazakhstan and India.
About the Speaker: Director of the School of Computer Science at the International University of Ecuador. Expert in educational tools and digital collaboration platforms. With a background in educational research. She has participated as a speaker in various seminars in countries such as Colombia, Spain, and Ecuador. Additionally, she has served as a jury member for doctoral theses in Colombia. In the field of research, she created UIDE - The STEM Gender Gap and is currently involved in projects with the CINTANA network, collaborating with countries such as India, Kazakhstan, and Ecuador. She is also conducting research on ICT in Education with the Simon Bolivar University of Colombia. She is a member of the EDInnova Network, which includes universities in Spain, Mexico, Costa Rica, Colombia, and Ecuador. She has multiple publications including book chapters from DYKINSON Publishing, as well as scientific articles indexed in Scopus. Among her academic achievements, she received the International and Cum Laude distinction in her Ph.D. from the Autonomous University of Madrid.