Julia Gschwind
Education
I am in the final year of the MSc in Computer Science at ETH Zurich. My Master's thesis is conducted at the Energy and Environment Group at the University of Cambridge, supervised by Prof. Srinivasan Keshav.
Research Interests
My academic focus is on Machine Learning and Visual Computing, with a strong interest in their application to environmental challenges. I am particularly driven by work that contributes to the energy transition and promotes sustainable systems.
Publications
Experience
- Developing neural networks to optimize the sizing of photovoltaic systems for residential settings, both with and without electric vehicles.
- Modeling optimal solar panel placement based on roof characteristics such as orientation, tilt, and shading.
Contributed to full-stack development within the Google Shopping team, with a primary focus on integrating AI-driven features.
Thesis topic: “Attention for Visual Sound Source Localization”
Implemented and tested various guide attention mechanisms for transformers.
Developed internal tools for Site Reliability Engineers, primarily focused on monitoring and analyzing activity between distributed servers.
Course: “Introduction to Programming”
Responsible for instructing 25 students through weekly exercise sessions and evaluating assignments.