Zo Webster
About Zo Webster
Zo Webster is a Data Scientist at General Mills with a rich background in academia and a passion for mentoring in STEM.
Current Role at General Mills
Zo Webster serves as a Data Scientist working remotely for General Mills. In her role, she likely utilizes her extensive background in data analysis, programming, and statistical methods. Her responsibilities may include leveraging data to drive business decisions, creating predictive models, and working with tools such as Python and SQL.
Previous Academic Positions
Zo Webster has held multiple academic roles throughout her career. She was an Assistant Teaching Professor and Physics for Engineers Coordinator at North Carolina State University, and an Associate Professor of Physics at Columbus State University. Additionally, she served as an Instructor of Physics at the North Carolina School of Science and Mathematics. In these roles, she taught physics to a wide range of students and supervised large classes.
Mentorship and STEM Advocacy
Zo Webster mentors girls and young women in STEM fields. Inspired by her own journey through the sciences, she is passionate about encouraging the next generation of female scientists and engineers. Her mentorship activities are aimed at fostering interest and participation in STEM, helping to bridge gender gaps in these critical areas.
Educational Background
Zo Webster has a strong academic foundation with several degrees. She earned a Master of Science in Analytics from the Institute for Advanced Analytics and a Ph.D. in Astrophysics from the University of California, Berkeley. She also holds a Master of Science in Astronomy & Astrophysics from the University of California, Santa Cruz, and an AB in Physics from Mount Holyoke College.
Technological and Programming Skills
Throughout her career, Zo Webster has developed strong skills in programming and technology. At NC State University, she used Python to automate grading processes for large classes. She is currently undergoing formal training in SQL, SAS, Python, and R as part of her master’s in analytics program, indicating her strong commitment to continuous learning and professional development.