David Johnson
Senior Lecturer/Associate Professor at Department of Informatics and Media
- Telephone:
- +46 18 471 77 02
- E-mail:
- david.johnson@im.uu.se
- Visiting address:
- Ekonomikum (plan 3)
Kyrkogårdsgatan 10 - Postal address:
- Box 513
751 20 UPPSALA
Download contact information for David Johnson at Department of Informatics and Media
- ORCID:
- 0000-0002-2323-6847
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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 systems
- information infrastructures
- information systems
- interoperability
Biography
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.
I am a director of our Masters Programme in Information Systems.
I act as course director for the following courses:
- 2IS081 Data Mining and Applied Machine Learning (Bachelors)
- 2IS073 Digital Infrastructure (Masters)
- 2IS074 Artificial Intelligence and Machine Learning (Masters)
- 2IS077 Big Data Analytics (Masters).
I am section leader for Information Systems at my department in Uppsala and a member of the Uppsala University Computational Social Science Lab.
Research
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 as a researcher 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 working on a project to study the replication practices of AI research in the life sciences, and on a Vinnova-funded project following the adoption of large language models (LLMs) for citizen services departments within Uppsala Municipality.
Publications
Selection of publications
- AI i samhällets tjänst (2023)
- Data Discovery for the SDGs (2023)
- EAAI-22 Blue Sky Ideas in Artificial Intelligence Education from the AAAI/ACM SIGAI New and Future AI Educator Program (2022)
- ISA API (2021)
- COPO (2020)
- PhenoMeNal (2019)
Recent publications
- Towards Modelling and Simulation of Organisational Routines (2024)
- Saying `Criminality’, meaning ‘immigration’? (2023)
- AI i samhällets tjänst (2023)
- AI for the benefit of society (2023)
- Data Discovery for the SDGs (2023)
All publications
Articles
- Saying `Criminality’, meaning ‘immigration’? (2023)
- EAAI-22 Blue Sky Ideas in Artificial Intelligence Education from the AAAI/ACM SIGAI New and Future AI Educator Program (2022)
- ISA API (2021)
- COPO (2020)
- Interoperable and scalable data analysis with microservices (2019)
- PhenoMeNal (2019)
- Computer Simulation, Visualization, and Image Processing of Cancer Data and Processes (2015)
- The role of markup for enabling interoperability in health informatics (2015)
- Semantically Linking In Silico Cancer Models (2014)
- Web-Based Workflow Planning Platform Supporting the Design and Execution of Complex Multiscale Cancer Models (2014)
- Optimising parallel R correlation matrix calculations on gene expression data using MapReduce (2014)
- High dimensional biological data retrieval optimization with NoSQL technology (2014)
- Connecting digital cancer model repositories with markup (2013)
- Dealing with Diversity in Computational Cancer Modeling (2013)
- Galaxy-Kubernetes integration: scaling bioinformatics workflows in the cloud
Conferences
- Towards Modelling and Simulation of Organisational Routines (2024)
- Data Discovery for the SDGs (2023)
- An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates (2022)
- Towards Explainable, Compliant and Adaptive Human-Automation Interaction (2020)
- "Why did you do that?" (2019)
- Teaching Agile Methods to Software Engineering Professionals (2017)
- DSIMBench (2014)
- Abstraction in Physiological Modelling Languages (2013)
- Modular markup for simulating vascular tumour growth (2012)
- TumorML (2011)
- The Case for Using Markup for Biomechanical Modelling (2011)
- A middleware independent grid workflow builder for scientific applications (2009)