👋 Hi! I’m a researcher, technologist, and writer focused on the social and economic aspects of artificial intelligence.
I'm especially interested in the impact of information technologies on human learning and knowledge. For my Master's thesis, I studied emerging networks of production and distribution in higher education and lifelong learning. Basically, I used data science to study data science training in the United States. Kind of meta, eh?
🧠 I trace my passion for AI to its description by Poole & Mackworth as an “experimental philosophy” or “computational epistemology.”
AI is for computational knowledge, as well as a for studying knowledge computationally. That makes my whole brain light up: both the social data science parts, and the science fiction parts.
👔 Currently, I write about the business and management of AI for Element AI, a Canadian startup with a global footprint.
Previously, I’ve worked in consulting, research, corporate learning, knowledge management, and IT. I've managed projects, teams, and IT systems; engineered data solutions with Python, SQL, and other tools; and conducted academic research using machine learning.
🎓 My alma mater is the Oxford Internet Institute, “a multidisciplinary research and teaching department of the University of Oxford, dedicated to the social science of the Internet.” I’m also an Antonian and a Gopher.
At Oxford, I studied statistics, scientometrics, digital ethnography, and agent-based modeling; assisted Bodleian Libraries with publishing scholarly data to Wikidata using SPARQL; won a funding competition for innovative educational technology; and worked as a researcher on a Google-funded study about the future of AI and lifelong learning.
M.Sc. (Distinction), Social Science of the Internet, 2017
Oxford Internet Institute, University of Oxford
B.Sc., Multidisciplinary Studies, Information & Knowledge Management, 2014
University of Minnesota