Chinmay Kulkarni

Associate Professsor
Human-Computer Interaction Institute, Carnegie Mellon University

Publications - CV

My research introduces technological means to help people help each other by sharing knowledge, drawing on shared experiences, and supporting each other. In doing so, I hope to make sustainable progress on long-standing problems in learning and work.

Recent questions in my research include:

  • How might teachers help each other with teaching techniques adapted to the pandemic?
  • How might entrepreneurs help each other with feedback and serve overlooked needs?
  • How might remote workers develop more sustainable careers?
  • How might knowledge workers make better decisions through improved perspective-taking?
  • How might voice interfaces inspire collaboration?

My research is currently supported by the National Science Foundation, the US Department of Education, the Office of Naval Research, and a departmental fellowship. Past research sponsors include Mozilla and Facebook/Instagram. Before Carnegie Mellon, I earned a PhD from Stanford's Computer Science Department, and worked with Microsoft Research, along with short stints at Google and the Barcelona Supercomputing Center.

Email / Bio / Zoom

Try our research

PeerStudio artwork
PeerStudio
Cloud-based

Peer-feedback tool for classrooms large and small, proven to improve student learning in a randomized trial. Free for classroom use.

APTeach artwork
AP Teach
Cloud-based

APTeach is a community dedicated to helping teachers with the most challenging aspects of teaching AP Chemistry. Funded by the US Department of Education

Selected publications

Full list of publications, including patents, workshops, etc. available at Google Scholar.

Highlight by contribution/method
New technical system
New design methods
New algorithms
Synthesis/guidance
Large-scale deployment
Large-data analysis
Qualitative methods
Long-term data-collection
Randomized controlled experiment
Award
2021

Sayan Chaudhry, Chinmay Kulkarni

ACM DIS 2021

Synthesis/guidance

Yasmine Kotturi, Allie Blaising, Sarah E Fox, Chinmay Kulkarni

ACM CSCW2021

Long-term data-collection
Qualitative methods

Julia Cambre, Alex C. Williams, Afsaneh Razi, Ian Bicking, Abraham Wallin, Janice Tsai, Chinmay Kulkarni, Jofish Kaye

ACM CHI2021

New technical system
Large-scale deployment
Large-data analysis
Qualitative methods

Allie Blaising, Yasmine Kotturi, Chinmay Kulkarni, Laura Dabbish

ACM Computer Supported Collaborative Work (CSCW) 2021

Qualitative methods
Long-term data-collection
2020

Julia Cambre, Chinmay Kulkarni

Conversational User Interfaces, 1-4, 2020

Synthesis/guidance

Julia Cambre, S Reig, Q Kravitz, Chinmay Kulkarni

ACM Designing Interactive Systems (DIS), 2020

New design methods
Qualitative methods

A Li, Z Yao, D Yang, Chinmay Kulkarni, R Farzan, RE Kraut

ACM Computer Supported Collaborative Work (CSCW), 2020

Large-data analysis
Long-term data-collection
Award

D Ma'ayan, W Ni, K Ye, Chinmay Kulkarni, J Sunshine

ACM CHI 2020

Qualitative methods
Award

Yasmine Kotturi, A Kahng, AD Procaccia, Chinmay Kulkarni

AAAI Conference on Artificial Intelligence, 2577-2584 2020

New technical system
New algorithms
Qualitative methods
Randomized controlled experiment
2019

Julia Cambre, Chinmay Kulkarni

ACM Computer Supported Collaborative Work (CSCW), 2019

Synthesis/guidance

Chinmay Kulkarni

ACM Learning@ Scale, 2019

New design methods
Synthesis/guidance

Julia Cambre, Y Liu, RE Taylor, Chinmay Kulkarni

Proceedings of the 2019 on Designing Interactive Systems Conference, 1531-1542, 2019

New technical system
New design methods
Qualitative methods
Long-term data-collection
2018

A Kahng, Yasmine Kotturi, Chinmay Kulkarni, D Kurokawa, AD Procaccia

AAAI Conference on Artificial Intelligence 2018

New algorithms

Julia Cambre, S Klemmer, Chinmay Kulkarni

ACM CHI 2018

New technical system
Large-scale deployment
Large-data analysis
Qualitative methods
Long-term data-collection
Randomized controlled experiment

RM Quintana, C Brooks, CV Smothers, Y Tan, Z Yao, Chinmay Kulkarni

International Society of the Learning Sciences, Inc.[ISLS].

Allie Blaising, D Askay, Yasmine Kotturi, Chinmay Kulkarni

Earlier

Yasmine Kotturi, A Du, S Klemmer, Chinmay Kulkarni

ACM Learning@ Scale, 2017

Large-scale deployment
Large-data analysis
Long-term data-collection

Q Guo, Chinmay Kulkarni, A Kittur, JP Bigham, E Brunskill

IJCAI 2016

New technical system
New algorithms
Large-data analysis

A Stankiewicz, Chinmay Kulkarni

ACM Learning@ Scale, 2016

New technical system
New algorithms
Large-data analysis

Chinmay Kulkarni, Yasmine Kotturi, MS Bernstein, S Klemmer

Design Thinking Research, 237-273 2016

Synthesis/guidance

V Pandey, Yasmine Kotturi, Chinmay Kulkarni, MS Bernstein, S Klemmer

ACM Learning@ Scale, 253-256, 2015

Synthesis/guidance

Yasmine Kotturi, Chinmay Kulkarni, MS Bernstein, S Klemmer

ACM Learning@ Scale, 2015

Synthesis/guidance
Large-data analysis
Long-term data-collection

Chinmay Kulkarni, Julia Cambre, Yasmine Kotturi, MS Bernstein, SR Klemmer

ACM Computer Supported Collaborative Work (CSCW) 2015

New technical system
Large-scale deployment
Large-data analysis
Long-term data-collection
Randomized controlled experiment

Chinmay Kulkarni, MS Bernstein, S Klemmer

ACM Learning@Scale 2015

New technical system
New algorithms
Large-scale deployment
Large-data analysis
Long-term data-collection
Randomized controlled experiment

Chinmay Kulkarni, R Socher, MS Bernstein, SR Klemmer

ACM Learning@Scale 2014

New technical system
New algorithms
Large-scale deployment
Large-data analysis

Chinmay Kulkarni, SP Dow, SR Klemmer

Design Thinking Research, 49-62 2014

New design methods
Randomized controlled experiment

Chinmay Kulkarni, KP Wei, H Le, D Chia, K Papadopoulos, J Cheng, D Koller, ...

ACM Transactions on Computer-Human Interaction (TOCHI) 20 (6), 33 2013

New technical system
Large-scale deployment
Large-data analysis
Long-term data-collection
Randomized controlled experiment

S Lin, J Fortuna, Chinmay Kulkarni, M Stone, J Heer

Computer Graphics Forum 32 (3pt4), 401-410 2013

New technical system
New algorithms
Large-data analysis
Randomized controlled experiment
Award

Chinmay Kulkarni, E Chi

ACM CHI 2013

New technical system
Qualitative methods
Randomized controlled experiment

N Adabala, N Datha, J Joy, Chinmay Kulkarni, A Manchepalli, A Sankar, ...

ACM Multimedia, 1445-1448, 2010

New technical system

S Tomić, C Perfumo, Chinmay Kulkarni, A Armejach, A Cristal, O Unsal, T Harris, ...

ACM PLDI 2009

New technical system
New algorithms

CE Kulkarni, O Unsal, A Cristal, E Ayguadé, M Valero

Proceedings of the 14th ACM SIGPLAN symposium on Principles and practice of Programming (PPoPP) 2009

New technical system
New algorithms