Ph.D. Candidate, Information Science, Cornell University
I study the often less-visible forms of human and organizational work involved in the ‘everyday practice’ of data science in corporate and academic settings.
Ph.D. (2021)
Information Science
Cornell University
M.Sc. Research (2012)
Science & Technology Studies
Maastricht University
Bachelor of Technology (2010)
Information Technology
DAIICT
Latest News
Our paper – Making Data Science Systems Work – got accepted into the Big Data & Society journal. Click here to access the article.
Spent Summer 2019 working as a research intern at Microsoft Research (MSR AI) with Saleema Amershi, Hanna Wallach, and Jenn Wortman Vaughan on a project to study how product teams scope and resolve the ethical 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 also included: Sarah Bird and Ben Olsen.
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.