Sequoia Andrade is a Research Engineer at HX5 LLC. on a NASA Ames Research Center contract. Her work falls under the System-Wide Safety project and is centered around using machine learning, data analysis, and modeling to evaluate system safety. She is involved in the System Modeling and Analysis of Resiliency (SMARt) project, as well as the Resilience Analysis and Design (RAD) project. She is particularly interested in work applying mathematics and data science for social good, such as wildfire response. In 2020, she graduated from Santa Clara University with a B.S., majoring in mathematics, with an applied emphasis, and psychology. In 2022, she was awarded the NSF GRFP fellowship with a focus on data science. In fall of 2022, she will be pursuing a masters degree in statistical data science at San Francisco State University.

Related Publications

• Sequoia Andrade, Hannah Walsh. "Wildfire Emergency Response Hazard Extraction and Analysis of Trends (HEAT) through Natural Language Processing and Time Series," 40th Digital Avionics System Conference. October 2021.[Paper PDF]
• Sequoia Andrade, Hannah Walsh. "Knowledge Discovery for Early Failure Assessment of Complex Engineered Systems Using Natural Language Processing,"2021 ASME (IDETC/CIE 2021). August 2021.[Paper PDF]
• Sequoia Andrade, Eleni Spirakis, Daniel Hulse, Hannah Walsh and Misty Davies. "The System Modeling and Analysis of Resiliency in STEReO (SMARt-STEReO),"2021 ASME (IDETC/CIE 2021). August 2021.[Paper PDF]