I am currently a Ph.D. student in the Department of Information Science at Cornell University.

My research work is situated within social studies of data analysis – at the intersection of Information Science (IS), Computer Science (CS), and Science & Technology Studies (STS). I research how people understand, interpret, organize, analyze, and visualize large scale datasets with and through computational algorithms and specialized, often statistical, techniques.

I ask questions such as: What forms of human work constitute large-scale data analyses? How do people evaluate and contextualize data analytic results? How can we know when large-scale data analysis has or hasn’t worked? How can we better communicate data analytic results and processes? How can we build better systems to identify and accommodate a more human-centric view of data analysis?

Research Interests: Social Studies of Data Analysis, Critcal Data Studies, Critical Design, Machine Learning, Digital Humanities, UI & UX Design and Research, and Data Visualizations.

  • Ph.D. Ongoing

    Information Science

    Cornell University, USA

  • M.Sc. Research


    Maastricht University, NL

  • B.Tech.

    ICT Engineering

    DA-IICT, India

Bits & Bytes

A Wall Street Journal piece on how a computer science professor at Georgia Institute of Technology used IBM’s Watson as a teaching assistant in the classroom.

A comprehensive bibliography of critical algorithm studies compiled by Tarleton Gillespie and Nick Seaver.

An online data-based game – Collapse – that shows you how soon the world would end if you got infected with a virus.