Ph.D. Candidate, Information Science, Cornell University
I study data science as a social, situated, and collaborative practice, focusing on the ‘everyday work’ of data science practitioners in academic institutions and corporate organizations

Ph.D. (Graduating: May 2020)
Information Science
Cornell University

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

Bachelor of Technology (2010)
Information Technology
DAIICT

Latest News

I am currently on the job market (graduating: May 2020), looking for tenure-track faculty positions and post docs in computer and information science research areas of Critical Data Studies, Human-Centered Data Science, Human-AI Collaboration, AI Ethics, and Fairness, Accountability, and Transparency.

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.

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.