Gabriel Poesia

Gabriel Poesia

Hello! I'm a 2nd year Computer Science PhD student at Stanford University, affiliated with the NLP Group and advised by Noah Goodman in the Computation and Cognition Lab.

Research-wise, I've been pursuing two intersecting avenues:

  • I take inspiration from how human communication to think about how we could interact with computers with more flexibility and efficiency, and
  • I take the field of education as a source of challenging fundamental AI problems, touching everywhere from reasoning to explainability and language understanding, as well as a target for important applications.
A headshot.

Publications

2021 Contrastive Reinforcement Learning of Symbolic Reasoning Domains
Gabriel Poesia, WenXin Dong and Noah Goodman
(under review)
[arXiv]
EMNLP 2021 Open-domain clarification question generation without question examples
Julia White, Gabriel Poesia, Robert Hawkins, Dorsa Sadigh and Noah Goodman
(to appear)
AAAI 2021 Pragmatic Code Autocomplete
Gabriel Poesia and Noah D. Goodman
[PDF] [Code]
OOPSLA 2020 Dynamic Dispatch of Context-Sensitive Optimizations
Gabriel Poesia and Fernando Magno Quintão Pereira
[Link] [PDF] [Code]
OOPSLA 2017 Static Placement of Computation on Heterogeneous Devices
Gabriel Poesia, Breno Guimarães, Fabrício Ferracioli and Fernando Magno Quintão Pereira
[Link] [PDF]
ECML/PKDD 2014 A Lossless Data Reduction for Mining Constrained Patterns in n-ary Relations
Gabriel Poesia and Loïc Cerf
[Link] [PDF]

Other interests

Programming contests. I used to be an ACM-ICPC competitor (world finalist in 2015), and generally involved in programming contests in various ways. In particular, I authored 3 problems for the official ACM-ICPC Latin American regionals, 2 in 2017 and one in 2020. I've also coached several teams, taught at training camps in Latin America, and co-authored the problems that selected high schoolers to represent Brazil in the International Olympiad of Informatics in 2018.

Data musicalization. I've been having a lot of fun in creating music from data, as a powerful way to have people subjectively experience information. I have an ongoing side-project using COVID-related data that will be released this September 2021. Stay tuned!

Invited Talks

Contact

"poetry in Portuguese"@stanford.edu