Hi! I’m a third-year undergraduate at the University of Washington, majoring in Computer Science and Philosophy, with Interdisciplinary Honors. I work on 3D computer vision and grounded vision–language perception in the UW RAIVN Lab. I’m broadly interested in how machines come to represent the world, and what it takes for those representations to be accurate, grounded, and accountable.
In my free time, I enjoy teaching, learning history, and traveling.
Sparse autoencoders show that LLaVA-1.6’s vision encoder represents both aspects of bistable images simultaneously while the language decoder commits to one. Causal steering localizes the seeing-as bottleneck to the language model.
A fully automated pipeline from raw video to quality-filtered 3D mesh assets, with no camera poses, segmentation, or object labels.
Recommendations and search relevance for Instagram.
Enabled custom audience targeting for marketing campaigns.
Built dashboards to monitor readmission rates and cap tables.
Selected coursework: Computer Vision, Deep Learning, Machine Learning, Natural Language Processing, Algorithms, Distributed Systems, Compilers.
Introduction to Computer Programming III
Introduction to Computer Programming I
Reach me at aagate@cs.washington.edu. I’m happy to talk about research, engineering, or anything at the intersection of computer science and philosophy.