Lalana Kagal
Scholar

Lalana Kagal

Google Scholar ID: tetdudUAAAAJ
Massachusetts Institute of Technology
artificial intelligenceknowledge representationprivacycomputer systems
Citations & Impact
All-time
Citations
5,363
 
H-index
18
 
i10-index
37
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Her research has led to several startups, including Inrupt, which provides a decentralized web architecture to give users control over their data, and more recently DynamoFL, a YC-backed startup around federated learning.
Research Experience
  • Leads multiple research projects including Web Accessibility Initiative, Decentralized Information Group (DIG), FairCV, PrivacyML - A Privacy Preserving Framework for Machine Learning, Solid: Social Linked Data, and The Car Can Explain!. Also involved in the Internet Policy Research Initiative.
Background
  • Lalana Kagal is a Principal Research Scientist at the MIT Computer Science and Artificial Intelligence Lab. She investigates the impact of digital technology on society and develops mechanisms for governing them. She leads the Decentralized Information Group (DIG) that focuses on topics at the intersection of technology, society, and policy.
Miscellany
  • Lalana is an enthusiastic supporter of social impact innovation and works closely with initiatives such as MIT Solve to mentor social entrepreneurs from all around the world.
Co-authors
0 total
Co-authors: 0 (list not available)