Subhabrata Majumdar
Scholar

Subhabrata Majumdar

Google Scholar ID: wED36bwAAAAJ
Head of AI, Vijil | Founder, AI Risk and Vulnerability Alliance
AI securityAI safetyTrustworthy AIRepresentation LearningHigh-dimensional statistics
Citations & Impact
All-time
Citations
604
 
H-index
14
 
i10-index
17
 
Publications
20
 
Co-authors
0
 
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Wrote a book; founded multiple nonprofit efforts; research in the data for good space has driven policy changes in government and nonprofit organizations such as the UNICEF Office of Innovation and Chicago Department of Public Health; recipient of the Early Career Award in Statistics and Data Sciences from the International Indian Statistical Association; work has received global recognition through media outlets such as MIT Tech Review, Orange UK, the Turing Podcast, and Chicago Tribune.
Research Experience
  • Senior scientist in the security research team at Splunk and the Data Science and AI Research team at AT&T Labs. Pioneered the use of trustworthy AI methods in multiple companies.
Education
  • PhD in Statistics from The University of Minnesota Twin Cities. Bachelors and Masters degrees in Statistics from Indian Statistical Institute, Kolkata.
Background
  • Research Interests: AI security, AI safety, Trustworthy AI/ML, Representation learning, Statistical machine learning, Computational chemistry. Professional field: Applied researcher, previously a senior scientist in multiple companies. Brief introduction: Subho Majumdar is the Co-founder and Head of AI at Vijil, a technology startup on a mission to help enterprises build and operate trustworthy AI agents. He is also a founding Member of the Board of Directors at AI Risk and Vulnerability Alliance, a US nonprofit in the area of AI risk.
Miscellany
  • Personal interests and other information not provided.
Co-authors
0 total
Co-authors: 0 (list not available)