Dr. Carlos Álvarez
Biologist with a Master in Physics from Universidad de los Andes. Obtained his Ph.D. in Physics from Université Paris XI developing models on ferrofluids and charged colloids via molecular simulations. He did his post-doctoral stay in the Technische Universität of Berlín, where he worked on numerical simulations of magnetic nano-rods. He has worked with several parallel computing frameworks like OpenMP, MPI and Cuda. Currently, he is Professor of the School of Engineering, Science and Technology at Universidad del Rosario – Bogotá.
Dr. Juan Pablo Mallarino
Physicist from Universidad Nacional de Colombia, obtained my Ph.D. in Physics from Universidad de los Andes developing analytic models for stiff rod-like polyelectrolytes through molecular simulations. During my post-doctoral stay in Universidad de los Andes, we revised the Contact Theorem for the Cell Model and Manning condensation phenomenon for the two-dimensional one-component plasma. As of today, I am the HPC Coordinator and Researcher for the School of Sciences in Universidad de los Andes. I have a strong background on theoretical statistical mechanics, programming languages such as C/C++, Python, R and SQL, and Linux administration for cluster environments with application development and deployment.
Dr. Esteban Hernández
PhD on Engineering with focus on HPC for Weather Forecasting. Senior Software architect with +17 years of experience, my strengths include a deep understanding of availability, performance, security, and capacity planning. I also have a deep understanding of and experience working with Big Data environments using Data Sciences tools and techniques. He has developed generations of high availability architectures based on open source software with JBoss, Glassfish and Apache Tomcat, tuned computing platforms to achieve high processing performance and implemented scientific programs using OpenMP, MPI, CUDA, OpenCL and OpenACC, and other parallel frameworks and languages. Currently working as Senior Big Data Architect on AWS
Dr. Jose de Vega
Jose De Vega leads a research group at the Earlham Institute (Norwich, UK) focused on producing and integrating genomic and phenomic data from crops important to global food security. To do this, we collaborate with plant breeders, researchers and gene banks from other British institutes, CGIAR centers, and tropical countries. The Earlham Institute specializes in exploring genome diversity using sequencing technologies and data science in the fields of food security, health, and biodiversity conservation. In a global project with 20 institutions in Colombia and the United Kingdom financed by the British Government to increase human and technological resources for research in Colombia, called GROW Colombia (www.growcolombia.org), our work is to analyze genetic diversity in crops relevant to the Colombian economy.
Aurelio Vivas graduated as Computing and System Engineer at Universidad del Valle, in Cali, Colombia. He got a MSc and is currently a PhD student at Universidad de los Andes, in Bogotá, Colombia. Since 2018, he has been a Teaching Assistant with the System and Computing Engineering Department. He has been able to participate in remote sensing, desktop grid computing, and high-performance molecular dynamics projects. His research interests include Programming Languages, Scientific Parallel Computing and Software-defined Infrastructures.
Carlos is the Advance Computing for Research Technical Coordinator at Universidad del Rosario. With a degree in Computer Science from the Industrial University of Santander in Bucaramanga, Colombia and a Master degree in Applied Mathematics and Computer Science from Joseph Fourier University of Grenoble, France. He has worked in the High Performance Computing (HPC) area for nearly 10 years in the research domain as well as the industry. He has worked at different HPC levels ranging from designing and running complex HPC data centers as well as tuning parallel applications running on top of large scale architectures.
Dr. Jose Monsalve
Jose Manuel Monsalve Diaz obtained his bachelor’s degree in Electrical Engineering from the Pontificia Universidad Javeriana in Bogotá in 2013, and his Master in Electrical and Computer Engineering from the University of Delaware in 2020. After graduation in 2013, he continued his studies at the University of Delaware where he is currently pursuing his PhD on the area of Parallel Computing Architectures. He is also a graduate researcher in Argonne National Laboratory since 2018. Throughout the years he has worked as a research assistant of the CAPSL research group for Prof Guang. R. Gao, and the CRPL research group for Prof. Sunita Chandrasekaran. His areas of interest are parallel computer architecture design, parallel computer systems and parallel programming models. He has worked on validation and verification of OpenMP target offloading, as well as with OpenACC programming targetting CPU and heterogeneous systems based on GPGPUs. Other projects also involved unconventional Data-flow based programming models and computer architectures such as the Codelet Model developed at the University of Delaware.”