I am a PhD candidate in the Department of Information Science at Cornell University with a minor in Science & Technology Studies.


I study how people organize, analyze, and visualize the world with and through large-scale datasets, computational algorithms, and specialized statistical techniques. My research is situated at the intersection of Information Science, Computer Science, and Science & Technology Studies. In my work, I ask questions such as: what forms of human work and decisions constitute data analyses, how do we and should we evaluate and contextualize data analytic results, how can we know when data analysis has or hasn’t worked, how can we better communicate data analytic results and processes to experts and non-experts alike, how can we build better systems to identify and accommodate a more human-centric view of data analysis?


Research Interests: Critical Data Studies, Machine Learning, Critical Design, Digital Humanities, Sociology of Algorithms, and Ethics of Data Visualizations.

  • Ph.D. (Ongoing)

    Information Science

    Cornell University, USA

  • M.Sc. Research


    Maastricht University, NL

  • B.Tech.

    ICT Engineering

    DA-IICT, India

Recent Updates

  •    Our CSCW 2017 paper on Data Vision got a write-up at Cornell’s Information Science webpage. Here is the link. (April, 2017)