Scholar
Michelle Vaccaro
Google Scholar ID: y-B1BoQAAAAJ
PhD Student, MIT
Citations & Impact
Citations
338
H-index
4
i10-index
4
Publications
5
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Has academic papers published on Google Scholar, and her undergraduate thesis was awarded.
Research Experience
- Worked at Goldman Sachs in foreign exchange strategy and structuring before coming to MIT.
Education
- PhD candidate at MIT's Institute for Data, Systems, and Society, advised by Prof. Thomas Malone; Bachelor’s degree in Computer Science from Harvard College, graduated summa cum laude with highest departmental honors in Computer Science and received the Thomas T. Hoopes Prize for her undergraduate thesis.
Background
- Research interests: human-AI interaction, particularly how people and AI should—and should not—work together in organizations. Specific research directions include: identifying the conditions for human-AI synergy, testing and extending established theories about human behavior to AI and human-AI contexts, developing human-AI safety evaluations.
Co-authors