PhD candidate in the Department of Information Science at Cornell University. Member of the Culturally Embedded Computing (CEMCOM) research group and of Cornell University’s initiative on Artificial Intelligence, Policy, and Practice (AIPP).


I study the human work involved in data science practices. Instances of such work range from the conceptualization of data-driven questions and pre-processing of datasets to translating between corporate values and computational goals and the work of managing corporate data science projects. I study such forms of work ethnographically in the context of academic and corporate data science.


Research Interests: Critical Data Studies, Data Science, Machine Learning, Data Science Ethics and Policy, Sociology of Algorithms, Data Visualization, and Digital Humanities.

Recent Updates

  •    Cornell University did a news write-up on our CSCW 2018 paper – Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects. Read more about it here.

Ph.D. Candidate (Present)
Information Science

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

Bachelor of Technology (2010)
Information & Communication Technology