Hire an Illini
Qingyun Wang
- Advisor:
- Heng Ji
- Departments:
- Areas of Expertise:
- Natural Language Processing
- AI for Science
- Thesis Title:
- AI4Scientist: Accelerating and Democratizing Scientific Research Lifecycle
- Thesis abstract:
- Millions of scientific papers are published annually, resulting in an information overload. Beyond this, scientific papers, known as "Sleeping beauties", sometimes remain largely unnoticed for long periods before suddenly attracting great attention. Moreover, the process of discovering new scientific hypotheses has remained slow, expensive, and highly specialist-dependent, due to the increasingly complex experiments. There exists a pressing need to help scientists digest and evaluate relevant papers, facilitating scientific discovery. However, computer-human collaboration in scientific hypothesis discovery is still exploratory and lacks a unified framework for analyzing the relevant tasks. This thesis tackles the problem of automating scientific literature understanding and scientific discovery by proposing an AI4Scientist.
- Downloads:
Contact information:
qingyun4@illinois.edu