Ph.D. Candidate, Information Science, Cornell University
I study data science as a social, situated, and collaborative practice – focusing on the human work essential in getting data and algorithms to work together

Ph.D. (Current)
Information Science
Cornell University

M.Sc. Research (2012)
Science & Technology Studies
Maastricht University

Bachelor of Technology (2010)
Information Technology
DAIICT

Latest News

FAT* 2019 paper featured in machineByte. Check it out here.

Cornell Chronicle did a news write-up on our CSCW 2018 paper – Trust in Data ScienceRead more about it here.

CSCW paper – Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects – received the Best Paper Award at CSCW 2018.

FAT* 2019 paper featured in MIT Technology Review’s ‘The Algorithm’ newsletter edition. Check it out here.

Co-organizing the CHI 2019 workshop on Human-Centered Study of Data Science Work Practices. Click here for the workshop website.

FAT* 2019 paper – Problem Formulation and Fairness – featured in the news publication SiliconANGLE. Check it out here.