Sara Johansson Fernstad

About

Sara is a Senior Lecturer in Data Science with 15+ years' experience of Visualization research, and Newcastle Academic Lead for the Turing University Network. Her research focuses on visualization of incomplete, uncertain, high dimensional and/or heterogeneous data, particularly in biomedical and life sciences domains. She received a PhD from Linköping University, Sweden, in 2011.

Education

• PhD, Linköping University, Sweden, 2011

Selected publications

• Ruddle RA, Cheshire J, Johansson Fernstad S. Tasks and Visualizations used for Data Profiling: A Survey and Interview Study. IEEE Transactions on Visualization and Computer Graphics 2024
• Romijnders R, et al. Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases. Frontiers in Neurology 2023
• Micó-Amigo ME, et al. Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium. Journal of NeuroEngineering and Rehabilitation 2023
• Alzahrani, H, Fernstad, S. An investigation into various visualization tools for complex biological networks. Information Visualization 2023
• Johansson Fernstad S, Johansson J. To Explore What Isn’t There — Glyph-based Visualization for Analysis of Missing Values. IEEE Transactions on Visualization and Computer Graphics 2022
• Fernstad SJ. To identify what is not there: A definition of missingness patterns and evaluation of missing value visualization. Information Visualization 2019
• Grube M, et al. The next generation fungal diversity researcher. Fungal Biology Reviews 2017
• Stevens D, et al. Spatial variations in the microbial community structure and diversity of the human foot is associated with the production of odorous volatiles. FEMS Microbiology Ecology 2015
• Stewart CJ, et al. Preterm gut microbiota and metabolome following discharge from intensive care. Scientific Reports 2015
• Fernstad SJ, Shaw J, Johansson J. Quality-based guidance for exploratory dimensionality reduction. Information Visualization 2013