David Johnson
Senior Lecturer/Associate Professor at Department of Informatics and Media
- Email:
- david.johnson[AT-sign]im.uu.se
- Telephone:
- +4618-471 7702
- Visiting address:
- Ekonomikum (plan 3)
Kyrkogårdsgatan 10 - Postal address:
- Box 513
751 20 UPPSALA
Short presentation
I am an Associate Professor (Docent) of Information Systems. I am interested in data infrastructures, particularly those that support data-intensive scientific research, and the practices around using data and artificial intelligence.
Keywords: artificial intelligence big data data science digital practices
I am an Associate Professor (Docent) of Information Systems in the Department of Informatics and Media. I teach and research themes associated with data and artificial intelligence.
I am also a Visiting Fellow at the University of Oxford's Kellogg College. I was privileged to have previously held a Junior Research Fellowship from 2015-2018 at Kellogg College. I am also a Senior Associate Tutor (Honorary) at Oxford's Department for Continuing Education.
I am an award-winning educator, having received a University of Oxford Teaching Award (Mathematical, Physical and Life Sciences Division) in 2016 and the New & Future Educators Award jointly given by the Association for the Advancement of Artificial Intelligence (AAAI) and Association for Computing Machinery (ACM) in 2022.
Previously I was a Senior Researcher in the University of Oxford's Department of Engineering Science and held research posts in the Data Science Institute at Imperial College London and Oxford's Department of Computer Science. I have been a consultant for the United Nations, advising on big data and data science.
I hold a PhD in Computer Science from the University of Reading, UK, and a Postgraduate Certificate in Teaching and Learning in Higher Education from the University of Oxford.
Together with Claire Ingram Bogusz, I am a co-director of our Masters Programme in Information Systems.
I act as course director for the following courses:
My research to date broadly falls into the theme of data infrastructures, primarily for life sciences research. Data infrastructures are computing architectures, tools, and services designed to collect, store, manage, process, and disseminate data. I have participated in European-funded research projects from the EU Sixth Framework Programme (FP6) to Horizon 2020.
More recently, I have become interested in the practices around data and artificial intelligence (AI). I am currently undertaking an AI4Research sabbatical, working on a seed project to study the replication practices of AI research.
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