About
Shilpika is a Research Fellow (Postdoctoral Appointee) at Argonne National Laboratory's Leadership Computing Facility (LCF), specializing in data visualization and analysis for high-performance computing systems with a focus on AI for science and decision-making in AI workflows.
Her educational qualifications include:
- MS in Computer Science, Loyola University Chicago (2016)
- PhD in Computer Science, University of California Davis (2023)
Her research bridges data visualization, high-performance computing, and artificial intelligence to interpret scientific AI outputs, enabling transparent and actionable insights in computational science. This work addresses critical gaps in understanding complex AI-driven scientific results and optimizing AI integration in research pipelines.
No scientific awards were documented in the source material.
No information was provided regarding student supervision, research grants, or advisory roles.
She operates within Argonne National Laboratory's Leadership Computing Facility, a premier center for advanced computational resources supporting large-scale scientific discovery across diverse domains.
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