Scholar
Antonio Laverghetta Jr.
Google Scholar ID: 3uS-z1AAAAAJ
Assistant Professor of the Practice, Wesleyan University
Citations & Impact
Citations
212
H-index
8
i10-index
6
Publications
20
Co-authors
5
list available
Resume (English only)
Academic Achievements
- My work has been published in high-impact journals and conferences across disciplines, including ACL, EMNLP, CogSci, PACA, and IMPS. Joined Wesleyan as an Assistant Professor of the Practice in July 2025. Multiple new papers published in 2025.
Research Experience
- Previously, I was a research scientist intern at Amazon Alexa, Meta, and Interdigital. My dissertation used psychometrics to analyze the validity and reliability of natural language inference, a popular assessment of inferential reasoning in natural language processing. As a postdoc, my research focused on the application of large language models to the development of educational and psychological assessments, especially creativity tests.
Education
- PhD in Computer Science and Engineering from the University of South Florida; Postdoctoral training in the Cognitive Neuroscience of Creativity Lab at the Pennsylvania State University.
Background
- Assistant Professor of the Practice in Quantitative Analysis at Wesleyan University. My work spans artificial intelligence, machine learning, psychometrics, and creativity. I'm interested in how to build better tests of human cognition using AI, and how to measure and improve equivalent constructs in AI systems. I'm especially interested in quantitative analysis as it pertains to the measurement of creativity and STEM learning; my vision for my work is that the clever (and careful) use of AI can improve the quality of modern education.
Miscellany
- Actively looking for research assistants if you're an undergraduate at Wesleyan. Always open to new collaborators and inquiries about my work. Can be reached either by email or on LinkedIn.
