Ph.D. Candidate, Information Science, Cornell University
I study data science as a social, situated, and collaborative practice, focusing on the forms of human work essential in designing, developing, and deploying data science systems

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

Spent Summer 2019 working as a research intern at Microsoft Research (MSR AI) with Saleema Amershi on a project to study how corporate product teams scope and resolve the ethical and responsible implications of the AI-based systems that they develop. This research project fell under the purview of Microsoft’s AI and Ethics in Engineering and Research (AETHER) initiative. Project collaborators included: Hanna Wallach, Jenn Wortman Vaughan, Sarah Bird, Ben Olsen, and Richard Banks.

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

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.

Co-organized 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.