Luise Ge email  /  CV  /  photos  /  thoughts

I am a Computer Science PhD student at Washington University in St Louis, advised by Yevgeniy Vorobeychik and Brendan Juba. I spend most of my time over the theoretical aspects of computing, ranging from learning theory to social choice.

On a personal note, I would like to describe myself as a generalist as my interests are quite broad. I started out as a cognitive science student at the University of Edinburgh, with the passion to figure out how mind works. While this curiosity has never diminished, it just happened that the beauty of maths struck me greatly. I ended up getting a master degree specialised in geometry and topology at Imperial College London under the guidance of the amazing Paolo Cascini. My master thesis was on algebraic geometry inspired by a fantastic idea called "the periodic table of shapes" .

I have turned back to CS because of the philosophical implications and social impact of many compuational problems. I prefer to avoid the locution "AI" due to its overloaded interpretations.

headshot
News
  • [Sep 2024] Our paper Axioms for AI Alignment from Human Feedback is accepted into Neurips Spotlights!
  • [May 2024] I will be presenting at the AAMAS 2024 Workshop on Social Choice and Learning Algorithms in Auckland, New Zealand
Research

Social Choice and Value Alignment:

  • Axioms for AI Alignment from Human Feedback
    (α-β) Luise Ge, Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira, Yevgeniy Vorobeychik, Junlin Wu
    • ✦Spotlight✦ in 38th Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.
  • Learning Linear Utility Functions From Pairwise Comparison Queries
    Luise Ge, Brendan Juba and Yevegniy Vorobeychik
  • Fair allocation: implementing and evaluating an algorithm for competitive allocation of chores
    Outstanding undergraduate thesis supervised by Kousha Etessami


    • This ubiquitous researcher website template spawned from here.
    Last updated: September 2024