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


I study how data scientists approach, organize, analyze, and visualize the world with and through data structures, computational algorithms, and statistical techniques. I am particularly interested in the oft-invisible and under-articulated forms of human work constituting data science learning, research, and practice. 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.


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

  • Ph.D. (Ongoing)

    Information Science

    Cornell University, USA

  • M.Sc. Research

    Science & Technology Studies

    Maastricht University, NL

  • B.Tech.

    Information & Communication Technology

    DA-IICT, India

Recent Updates

  •    Our paper (co-authored with Steve Jackson) titled Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects was accepted to CSCW 2018.
  •    Presented the paper titled – The Stakes are High: But, do we know what they look like? – at the Lives of Data 2.0 Workshop organized by SARAI at the Center for the Study of Developing Societies (CSDS) in New Delhi, India. (January, 2018)