Machine Learning Applications in Scientific Problems with Sparse Data - Afternoon Address

Explore a captivating afternoon address from the Women in Data Science (WiDS) Livermore 2023 event, featuring Dr. Kelli Humbird, a design physicist from Lawrence Livermore National Laboratory (LLNL). Delve into Dr. Humbird's career journey and recent projects, focusing on her groundbreaking work in inertial confinement fusion (ICF) and the application of machine learning to enhance predictive modeling and design optimization. Discover her contributions to stockpile certification, technical nuclear forensics, and a project accelerating atomic physics calculations using neural networks. Gain insights into her brief involvement in machine learning analysis for COVID-19 spread during the pandemic's early stages. Uncover the common thread running through Dr. Humbird's diverse research: leveraging machine learning to tackle scientific challenges with limited data availability.