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

Microsoft Research, Summer 2019
I am currently working as a research intern at Microsoft Research AI (MSR AI) with Saleema Amershi on a project to study how corporate product teams deal with the ethical dimensions and implications of the AI-based systems that they develop. The research project falls under the purview of Microsoft’s AI and Ethics in Engineering and Research (AETHER) initiative.

Participated in, and had an amazing time at, the HCIC 2019 ‘The Future of Work’ Workshop.

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.