Chinmay Kulkarni

Chinmay Kulkarni is an Assistant Professor at Carnegie Mellon University's Human-Computer Interaction Institute, where he leads the Expertise@Scale lab. His research integrates large-scale data and automation to transform learning, work, and mentoring systems.

• Education: Ph.D. in Computer Science from Stanford University (recipient of the Arthur P Samuel Award)
• Previous Affiliations: Microsoft Research, Barcelona Supercomputing Center

His research spans:

• Human-Computer Interaction design for massive collaboration
• Voice-controlled interfaces and AI tools
• Future of work in remote/hybrid environments
• Behavioral economics through tech interventions
• Creative entrepreneurship support systems
• Algorithmic feedback in education

Recent publications with AI and education focus show strong trends in voice technology, peer feedback mechanisms, and scalable learning platforms. His lab's systems have been used by >100,000 users across 150 countries.

Scientific Awards:

• Arthur P Samuel Award (Stanford thesis award)

Advising & Grants:

• NSF grant recipient
• US Department of Education funding
• Office of Naval Research support
• Departmental fellowship

Labs: Directs Expertise@Scale lab developing systems adopted by Coursera and edX. Current research group includes PhD students Yasmine Kotturi, Julia Cambre, Pranav Khadpe and Masters student Sayan Chaudhry.