Info

Info

she/her

Master student at UChicago

Sitemap

A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

Paper Title Number 4

Published in GitHub Journal of Bugs, 2024

This paper is about fixing template issue #693.

Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
Download Paper

Academic Simulacra: Forecasting Research Ideas through Multi-Agent LLM Simulations

Published in , 2025

Large language models (LLMs) trained on massive corpora of human knowledge show strong abilities in reasoning, question answering, and knowledge synthesis. Linked to large-scale scholarly records, they can approximate scientific trajectories and plausible alternatives. We present a framework that simulates scholarly conversations among multi-agent LLMs instantiated as digital twins of real researchers, each grounded in publication histories. Modeling 8,269 authors of 2024 papers across nine flagship computer-science conferences, agents propose and refine hypothetical 2024 research ideas beyond the models’ knowledge cutoff. Generated ideas are compared with actual papers using semantic-similarity and convex-hull analyses at the author and conference levels. At the author level, cross-classification shows strong correspondence between generated and focal classifications (94.4% inside–inside; 85.3% outside–outside), indicating that simulations approximate researchers’ research directions. At the conference level, simulations produced at least one idea outside both 2023 and 2024 convex hulls for 99.1% of focal papers, but these ideas were more recombinatorial and less feasible than human-authored ones. Overall, the results suggest that LLM-based simulations mirror established patterns of scientific production but tend to extend into less immediately feasible directions, recombining existing ideas.

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.