Summary
Brooke Weborg is a Data Scientist and Machine Learning Engineer at NASA Glenn Research Center with eight years of experience blending rigorous engineering, ML research, and user-centered product design. She holds a 4.0-track academic record through a BS in Computer Science & Engineering and an MS in Electrical Engineering (Computer Science), where her research focused on echo state networks and reservoir computing. At NASA she develops ML models (including deep LSTMs for device nowcasting and predictive maintenance), helps define MVP workflows for AI/ML prototypes, and architects data hosting solutions to support center-wide applications. Brooke pairs hands-on hardware prototyping (Raspberry Pi lab automation) with software skills, and brings an unusual creative bent—web/graphic design training and extensive outreach using 3D printers and sewing—that she leverages for STEM education and human-centered tooling.
8 years of coding experience
1 year of employment as a software developer
Associate's Degree, Science, 4.0 GPA, Associate's Degree, Science, 4.0 GPA at Lorain County Community College
High School, College Preparatory Course of Study, Over 4.0 GPA, High School, College Preparatory Course of Study, Over 4.0 GPA at Columbia High School
Bachelor's Degree, Computer Science and Engineering, 4.0 GPA, Bachelor's Degree, Computer Science and Engineering, 4.0 GPA at University of Toledo
Master of Science Degree in Electrical Engineering: Computer Science, Software & Intelligent Systems, 4.00 GPA, Master of Science Degree in Electrical Engineering: Computer Science, Software & Intelligent Systems, 4.00 GPA at The University of Toledo College of Engineering
High School, Web & Graphic Design, 4.0 GPA, High School, Web & Graphic Design, 4.0 GPA at Lorain County Joint Vocational School District
English