Scholar
Meena Jagadeesan
Google Scholar ID: XW62DrcAAAAJ
Stanford University, University of Pennsylvania
Citations & Impact
Citations
792
H-index
17
i10-index
19
Publications
20
Co-authors
29
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including 'Safety versus Performance: How Multi-Objective Learning Reduces Barriers to Market Entry' (PNAS, 2025); supported by Open Philanthropy AI Fellowship and PD Soros Fellowship.
Research Experience
- SAIL postdoc fellow at Stanford, hosted by Tatsu Hashimoto and Sanmi Koyejo; completed three internships at Microsoft Research.
Education
- PhD in Computer Science from UC Berkeley, advised by Michael I. Jordan and Jacob Steinhardt; undergraduate studies at Harvard, advised by Jelani Nelson.
Background
- Incoming Assistant Professor at the University of Pennsylvania in the Computer and Information Science Department, starting in Fall 2026. Research interests include machine learning ecosystems where ML models interact with humans, other ML models, and model-providers, focusing on multi-agent interactions, performance trends, and societal outcomes.
Miscellany
- Recruiting PhD students and postdocs; welcoming collaboration inquiries from current Penn CIS PhD students.
