William Reese
About William Reese
William Reese is a Graduate Intern at Sandia National Laboratories and a Graduate Student at North Carolina State University, with a background in mathematics and research experience in Bayesian Inverse Problems and uncertainty quantification.
Graduate Intern at Sandia National Laboratories
William Reese is currently a Graduate Intern at Sandia National Laboratories. His role includes engaging in advanced research projects and contributing to the development of cutting-edge technologies. At Sandia, he brings a strong background in scientific computing and uncertainty quantification to assist in tackling complex engineering problems.
Graduate Student at North Carolina State University
Since 2018, William Reese has been working as a Graduate Student at North Carolina State University in the Raleigh-Durham area. During his time there, he has focused on Bayesian Inverse Problems and uncertainty quantification for the past three years. Additionally, he has taken courses to enhance his research skills, including data-driven modeling and scientific computing in Python.
Educational Background in Mathematics and Pre-Engineering
William Reese obtained his Bachelor's degree in Mathematics from North Carolina State University, completing his degree in three years from 2015 to 2018. Prior to that, he earned an Associate's Degree in Pre-Engineering from Wake Technical Community College between 2013 and 2015. His academic background lays a solid foundation for his research and professional work.
Previous Research and Tutoring Experience
William has a diverse range of experience in research and tutoring roles. He worked as a tutor and test grader at North Carolina State University in various capacities, including as an MA 111 Test Grader, ASPSA Tutor, and MA 225 Tutor. His research roles include being an Undergraduate Researcher at both North Carolina State University and Louisiana State University, where he engaged in various research projects.
Upcoming Participation in Data Science Boot Camp
William plans to participate in the May 2022 Data Science Boot Camp offered by the Erdos Institute. This program aims to further enrich his expertise and practical skills in data science, preparing him to apply his research capabilities in inverse problems to the challenges within the field of machine learning.