Name: Silvio Rizzi
Pronouns:
Biography:
Dr. Silvio Rizzi is a Computer Scientist at Argonne National Laboratory. His research pursuits encompass a broad spectrum of domains, including High Performance Computing, Scientific Visualization, Virtual and Augmented Reality, as well as Display Technologies. Dr. Rizzi’s professional journey is marked by extensive collaboration with multiple scientific teams, where he plays a pivotal role in extracting scientific insight from large-scale supercomputer simulations. His expertise lies in harnessing scientific methodologies for data visualization and analysis, thereby contributing to the advancement of scientific knowledge.
Institution/Lab: Argonne National Laboratory
Website:
SRP Collaboration Topic/Title: Enabling Scientific Discovery With Supercomputers
Field or research area: Computer Science
Please select all the topical areas that apply to your project:
Computer Science (i.e., architectures, compilers/languages, networks, workflow/edge, experiment automation, containers, neuromorphic computing, programming models, operating systems, sustainable software); Data Science (i.e., data analytics, data management & storage systems, visualization)
Brief Abstract:
As the first exascale supercomputers come online, scientists are confronted with formidable challenges in analyzing the outcomes of large-scale numerical simulations. I am actively seeking enthusiastic students and faculty members who share a deep interest in exploring the intricacies of supercomputer simulations. Together, we will leverage leading-edge technologies for scientific visualization and analysis to facilitate scientific discoveries.
Desired relevant skills, background, or interests:
Experience in programming languages, such as C, C++, or Python. Experience in Computer Graphics and/or Machine Learning Frameworks is a plus.
Other comments:
Do any special requirements apply? other
Other, specify: would prefer no restrictions
Keywords:
Scientific Visualization; In situ Visualization and Analysis; Virtual/Augmented reality; 3D modeling of scientific datasets; Impactful Visualization; Digital Twins to model hazardous laboratory procedures
Lightning Talk Title: Enabling Scientific Discovery with Supercomputers