Trudy  Painter

Trudy Painter

Scholar Title

Undergraduate Research and Innovation Scholar

Research Title

Visualizing Predictive Evolutions of the Latent Space

Cohort

2022–2023

Department

Electrical Engineering and Computer Science

Research Areas
  • Computer Graphics and Vision
Supervisor

Andrew Lippman

Abstract

For centuries, humans have been committed to preserving knowledge. In the past, archiving aimed to preserve the physicality of scarce materials. With the rise of the Internet and personal computing, archiving has become the organizing of overwhelming amounts of information and building tools to navigate this abundance. Most modern search methods return a linear list. Given a list, what’s at the top is the most important. There are currently two types of tools used for exploration: search tools and synthesis tools. Synthesis tools have been on the rise: With the emergence of large language models and tools like ChatGPT, people can ask questions and receive generated responses. My project is to build an exploration tool that combines the strengths of both search and synthesis.

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