Kevin Miller
About Kevin Miller
Kevin Miller is an Associate Data Scientist at Owlet Baby Care, where he has worked since 2021. He holds a PhD in Applied Mathematics from the University of California, Los Angeles, and has a strong background in data-driven solutions and machine learning applications.
Work at Owlet
Kevin Miller has been employed at Owlet Baby Care as an Associate Data Scientist since 2021. In this role, he applies his expertise in data science to enhance the company's product offerings. Prior to his current position, he served as a Data Science Intern Level III at Owlet for three months in 2021. His work at Owlet focuses on leveraging data-driven insights to improve machine learning applications within the company's technology.
Education and Expertise
Kevin Miller completed his undergraduate studies at Brigham Young University, where he earned a degree in Applied and Computational Mathematics with a Mathematics Emphasis from 2011 to 2017. He furthered his education at the University of California, Los Angeles, obtaining a Doctor of Philosophy (PhD) in Applied Mathematics from 2017 to 2022. His research at UCLA, under the guidance of Dr. Andrea Bertozzi, centers on active learning methods for graph-based semi-supervised learning algorithms.
Background
Kevin Miller's academic journey began at Foothill High School, where he studied from 2007 to 2010. He then pursued higher education, first at Brigham Young University and later at UCLA. His professional experience includes various research and teaching roles at UCLA, including Graduate Student Researcher, Graduate Teaching Assistant, and UCLA REUCAM Mentor. He also worked as a Research Assistant at Brigham Young University and as a Computational Science Intern at Lawrence Livermore National Laboratory.
Research Contributions
Kevin Miller conducts research as a Graduate Research Fellow at UCLA Mathematics, a position he has held since 2018. His research contributions focus on developing active learning methods for graph-based semi-supervised learning algorithms. This work aims to advance the field of machine learning by exploring innovative approaches to data analysis and model training.
Professional Experience
Throughout his career, Kevin Miller has accumulated diverse professional experiences in academic and research settings. He worked as an Undergraduate Student Researcher and Graduate Teaching Assistant at UCLA, gaining valuable insights into both research and education. His role as a Research Assistant at Brigham Young University further solidified his foundation in applied mathematics and data science.