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Dr. Taina Coleman: Research Without Borders: High Performance Computing for Discovery Across Domains
October 3 @ 1:00 pm - 2:00 pm
Research Without Borders: High Performance Computing for Discovery Across Domains
Dr. Tainã Coleman, San Diego Supercomputer Center (SDSC)
Oct. 3, Friday, 1 – 2 pm, DBH 3011, UCI
Title: High-performance computing (HPC) drives discovery, but access often requires deep technical expertise. This talk explores how to broaden access and empower researchers across disciplines. I’ll begin with WfCommons (wfcommons.org), which generates realistic workflows and benchmarks to lower barriers for building and evaluating workflow applications. Next, I’ll cover the National Data Platform (nationaldataplatform.org), a federated ecosystem that connects distributed data resources. My work there involves developing tools that make large-scale data and computing resources usable beyond computer science, thereby democratizing access across various fields. Finally, I’ll share emerging directions that extend HPC into the humanities and beyond, including collaborations on Indigenous datasets that highlight the need for culturally respectful approaches. Together, these efforts envision HPC without borders, where workflows, data, and cultural awareness converge to enable discovery across all domains.
Bio: Tainã Coleman is a Schmidt AI in Science Postdoctoral Fellow at the San Diego Supercomputer Center. Her research centers on developing solutions and tools that expand access to high-performance computing (HPC) for researchers across both the sciences and the humanities. A key focus of her work is on scientific workflows, primarily examining how workflow structure impacts execution in HPC environments and designing algorithms, benchmarks, and data-driven methods to enhance efficiency and usability. More recently, she has integrated artificial intelligence into her research, exploring its applications across diverse domains. She earned her B.S. in Computer Engineering from Universidade Federal de Itajubá (2016), her M.S. in Computer Science from California State University, Long Beach (2020), and her Ph.D. in Computer Science from the University of Southern California (2023).
