Nicole is currently pursuing her graduate degree in Materials Science and Engineering from the University of Florida (expected Dec. 2022 graduation). She graduated from the University of California, Davis, with a B.S. degree in Materials Science and Engineering. She was heavily involved on campus as the Vice President for the Materials Outreach Corporation (MOC), a student-run organization that aims to bring education and awareness for materials science subject matter through a mentoring partnership with MESA. Nicole also held an officer position with the Materials Advantage Student Chapter (MASC), a nationally recognized student-run organization that offers students a wide range of resources to connect and learn about materials science.
Prior to transferring to UC Davis, Nicole attended Folsom Lake College where she received degrees in Mathematics, Physics, Arts, and Humanities. At Folsom Lake College, Nicole was employed as a Team Lead for their college's Makerspace and an Instructional Lead for their Learning Skills Department. She is a major advocate for maker-centered and project-based learning. She used this maker-mindset to help students develop the necessary skills for success inside and outside of the classroom.
Her professional background is in big-box retail management with a focus on talent acquisition/development and inventory control. Nicole's passion for people and attention to detail will continue to be her North Star as she continues her educational journey to graduate school.
Nicole participated in the NCN URE/UCEE Summer Internship 2020, where she optimized the existing code for the PRISMS-PF: Equilibrium Shape for a Misfitting Precipitate tool. This tool uses a Phase-Field methodology to explore the effects that interfacial and misfit strain energy have on a precipitate's shape. The previous tool had an unpredictable and lengthy simulation run-time. Nicole's updates allow users to toggle between a high-fidelity (Hi-Fi) and low-fidelity (Lo-Fi) simulation modes, where the Lo-Fi mode offers students a quick, preliminary investigation into the results which incentivizes users to explore additional parameters.