Maia Powell
About Maia Powell
Maia Powell is a Data Science Summer Institute Graduate Intern at Lawrence Livermore National Laboratory, focusing on machine learning and natural language processing. She holds a PhD in Applied Mathematics from the University of California, Merced, and has experience as a research fellow and teaching assistant.
Work at Lawrence Livermore National Laboratory
Maia Powell currently serves as a Data Science Summer Institute Graduate Intern at Lawrence Livermore National Laboratory, a position she has held since 2021. In this role, she focuses on applying machine learning techniques to natural language processing, with a particular emphasis on social context and impact. Previously, she worked at the same laboratory as a Data Science Challenge Team Lead for one month in 2020, where she led a team to tackle complex data science problems.
Education and Expertise
Maia Powell earned her Doctor of Philosophy (PhD) in Applied Mathematics from the University of California, Merced, completing her studies from 2018 to 2023. She also holds a Bachelor of Science (BS) in Applied Mathematics from the University of Northern Colorado, which she completed from 2014 to 2018. Her academic background equips her with a strong foundation in mathematical principles and their applications in data science.
Background
Maia Powell has a diverse background in academia and research. She was a Graduate Teaching Assistant at the University of California, Merced from 2018 to 2019. Additionally, she participated in the Math-to-Industry Bootcamp at the University of Minnesota in 2021, which aimed to bridge the gap between academic mathematics and industry applications. She has also been involved in various roles that support her development in data science and mathematics.
Achievements
Maia Powell holds a National Science Foundation Graduate Research Fellowship, which recognizes outstanding graduate students in science, technology, engineering, and mathematics disciplines. This fellowship supports her research endeavors and contributes to her professional development in the field of data science. Her participation in the Intelligent Adaptive Systems National Research Traineeship Fellowship from 2018 to 2020 further highlights her commitment to advancing her expertise.