My research focuses on developing and using methods in machine learning and natural language processing to learn about society from text, promoting better and more reproducible data science, and studying the societal impacts of these technologies. I collaborate with colleagues in statistics, linguistics, political science, and other areas of computational social science to investigate how people communicate, the effects of this communication, and to better understand the potential consequences and limitations of data science and artificial intelligence.
Accomplishments and Awards
- 2023 Propelling Original Data Science (PODS) Grant Award: Neural Quantum States at Scale: Applications in Sciences and Engineering.