Advait Sarkar
Scholar

Advait Sarkar

Google Scholar ID: Ch1sPf8AAAAJ
University of Cambridge
Human-Computer InteractionArtificial IntelligenceKnowledge WorkEnd-User Programming
Citations & Impact
All-time
Citations
2,186
 
H-index
24
 
i10-index
46
 
Publications
20
 
Co-authors
54
list available
Resume (English only)
Academic Achievements
  • Argued that 'human-AI collaboration' is a misleading metaphor unfair to data workers in the Global South
  • Demonstrated that ranking (vs. scoring) is faster and more accurate for capturing human judgment—applied in multiple sclerosis assessment and word complexity
  • Designed a visualization tool that drastically lowers expertise barriers for large time-series data analysis; won multiple awards and is open-source
  • Showed error bars can function as control mechanisms, not just uncertainty indicators
  • Studied how data 'sketching' facilitates analyst conversations and eye-only data navigation
  • Found public reluctance toward self-driving cars, low enjoyment in chatbot therapy, and limitations of natural language for voice assistant interaction
  • Proposed rule-based specification (over like/dislike feedback) for programming intelligent systems like recommenders
Research Experience
  • Researcher at Microsoft
  • Affiliated Lecturer at the University of Cambridge
  • Honorary Lecturer at University College London
  • Expands spreadsheet technology to build machine learning models and compose/perform music
  • Investigates viewing spreadsheet formulas as textual programs to improve efficiency and reduce errors
  • Studies user-friendly reuse of spreadsheet grids, integration of Python code in spreadsheets, spreadsheet-based database transformation scripting, and unit-aware spreadsheets (e.g., meters, dollars, kilograms)
  • Explores human interaction with Generative AI, proposing AI as a 'provocateur' to enhance critical thinking and intentionality
  • Developed a working definition for Generative AI to clarify the term
  • Created visualization tools for analyzing fault patterns in the British Telecom network