Julia Costacurta (she/her) is a third-year PhD candidate in Electrical Engineering, advised by Scott Linderman. Her research area is computational neuroscience, and she’s specifically curious about the ways that statistical models can help us understand the rich datasets present in neuroscience. Julia graduated from Johns Hopkins University in 2020 with a BS in Biomedical Engineering, Applied Mathematics & Statistics, and Mathematics. She also received her MS in Electrical Engineering from Stanford in 2022.
While at Hopkins, Julia served as a TA for 2 years. Since arriving at Stanford, Julia has worked with the School of Engineering Equity and Inclusion Office on the SURF and ACE programs. She is also social chair of Women in Electrical Engineering and teaches classes and clinics at the Climbing Wall at AOERC. As an Engineering Learning Consultant, Julia is most excited to work directly with students once again, to build and share communal knowledge resources which benefit all current and prospective students in engineering. Outside of academics Julia enjoys reading, rock climbing, and sewing her own clothes.