Dr. Mateo Valero

Professor Mateo Valero, born in 1952 (Alfamén, Zaragoza), obtained his Telecommunication Engineering Degree from the Technical University of Madrid (UPM) in 1974 and his Ph.D. in Telecommunications from the Technical University of Catalonia (UPC) in 1980. He has been teaching at UPC since 1974; since 1983 he has been a full professor at the Computer Architecture Department. From 1990 to 1995 Professor Valero created and directed the European Center for Parallelism of Barcelona (CEPBA) performing basic and applied research in parallel computing. He was also the director of C4, the Catalan Center for Computation and Communications, during 1995-2000. Since October 2000 to 2004, he has been the director of CIRI, the CEPBA-IBM Research Institute, created to conduct research on parallel computers. Since May 2004, he has been the director of Barcelona Supercomputing Center, the Spanish national supercomputing centre.

Dr. Pedro Mario Cruz Silva

PedroSilva

He did his Bachelor in Mathematics (1995), and Master in Science (MSc) in Combinatorial Optimization (1998) at Federal University of Pernambuco (UFPE), he also did his Doctoral (DSc) in Computer Graphics (2004) at Pontifical University of Rio de Janeiro (PUC-Rio). Worked for 15 years at Tecgraf Institute/PUC-Rio as a Researcher, Project Manager and for 8 years as Manager of Computational Geophysics Group, during this period was responsible for several Software Development and R&D projects for Geophysics, and other fields of the Oil&Gas industry, with a strong focus on innovation.

Dr. Yuri Alexeev

He is a Principal Project Specialist at the Argonne National Laboratory. His research involves development of quantum computing algorithms, error correction/mitigation techniques, and numerical simulator of quantum systems using high-performance computing on next-generation high-performance supercomputers. The recent projects include development of quantum chemistry and combinatorial optimization quantum algorithms for NISQ quantum computers.

Dr. George Thiruvathukal

George K. Thiruvathukal is a full professor of computer science at Loyola University Chicago. His primary research interests span high-performance computing, distributed systems, and software engineering. His current research foci are on machine learning and computer vision, empirical software engineering (in support of research software development), and the intersection of cloud computing and supercomputing. Dr. Thiruvathukal received the PhD and MS degrees in computer science from Illinois Institute of Technology in 1995 and 1990, respectively and BA degrees in physics and computer science (mathematics minor) from Lewis University (Romeoville, IL) in 1988.

Nina Volg

Nina Vogl is a HPC Specialist Solution Architect at AWS. She’s worked with HPC workloads for close to thirty-five years, covering multiple HPC disciplines, such as Bioscience/LifeSciences, Physics, Electronic Design Automation, Oil and Gas industry modeling, Weather/Climate modeling, Media/Entertainment and more, serving both commercial as well as public sector customers. Over the years Nina had the opportunity to deploy many different technologies to implement HPC solutions, such as mainframes, proprietary Unix workstations, Linux clusters, GPGPU accelerated solutions, and in the recent years, cloud computing solutions. Nina has a postgraduate mathematics degree with a minor in physical chemistry.

Paulo Aragão

Paulo Aragão is a Solutions Architect. For more than 20 years he has been helping HPC and Enterprise customers to use technology to achieve their business outcomes. Nowadays he is helping customers innovate using AI/ML services on the AWS Cloud. Passionate about music and scuba diving, he is a bass player in a rock band and has an extensive dive log. In his spare time, Paulo likes to play World of Warcraft, read books, and cook for his family and friends.

Dr. Robert Davey

Robert was appointed as Data Infrastructure and Algorithms Group Leader at the Earlham Institute in late 2012 and continues to lead this Faculty group in researching how best to manage, represent and analyze data for open science, as well as exploring new hardware, algorithms, and methodologies to develop tools to push the boundaries of data-driven informatics in the life sciences. The team applies their research expertise to develop infrastructure platforms for data and software dissemination and publication, assembly algorithms for viral and microbial metagenomics, large-scale data visualization, and best practice and training in bioinformatics.

Dr. Sieglinde Pfaendler

Have been coordinating industrial-based research projects, focused on the translational border between academia and industry since 2008. Trained as an experimental physicist with ten years of experience developing semiconductor materials and fabricating devices for direct commercial applications including quantum transistors, thin-film transistors, piezoelectric touch sensors, liquid crystal, and photovoltaic cells for the flexible, printed and plastic electronics industry. Specialities: Next generation materials and devices for the security, retail and packaging industries. Flexible and transparent metal oxides, cleanroom processing, materials research, experimental research project management, instruction, teaching, data acquisition.

Catalina Albornoz

Catalina is passionate about quantum computing and fighting climate change. She is currently an IBM Quantum Computing Ambassador and a Power Server Sales Specialist at IBM Colombia. She is a Mechanical and Electronic Engineer with an MSc. In Electronic Engineering and MEng. in Control Systems. She has experience in managing energy efficiency projects, especially in the retail sector. She also has experience developing algorithms for autonomous vehicles and smart agriculture.

Andrew Howard

Andy Howard is a Senior Program Manager on the Azure Compute team focused on HPC and Azure CycleCloud. Andy is a graduate from Purdue University where he received a BS in Electrical and Computer Engineering Technology. After spending almost a decade helping architect, build, and manage on-premises HPC systems for companies such as Purdue University, Cray, and the U.S. Department of Defense, Andy has spent the last seven years helping transition HPC workloads to the cloud. At Microsoft, he draws on this industry experience to help customers plan cloud HPC implementations and guide Microsoft’s HPC product offerings.

Carolina González

Carolina Gonzalez Zapata is a Program Manager II on the Azure Compute team focused on Microsoft Azure HPC. Carolina is a graduate from Universidad Central de Chile as a Civil Informatics Engineering. She has more than ten years of experience developing and executing project plans for high-profile clients in multiple industries. At Microsoft, she spent the last two years on HPC customer experience improvements from the Support Team through the Azure Portal using the best industry practices related to supportability.

Dr. Nelson Vera

Electronic Engineer and Doctor of Engineering. Coordinator of the Master’s Degree in Information and Communication Sciences and professor at the Francisco José de Caldas District University. Researcher in HPC, Data Science and Bioinformatics. Author of books, such as: “OpenCL Práctico”, Redes neuronales convolucionales usando Keras y acelerando con GPU”, “Entorno bioinformático para RNA-Seq”, “Biopython básico, manual práctico”