Nadezhda Koriakina
Background
Nadezhda joined the EMBLA research group in November 2024. Her research is focused on the analysis of data coming from organs-on-chip devices.
Short CV
- 2024 - current, PostDoc in EMBLA group, Uppsala University
- 2024, PhD in Computerized Image Processing, Uppsala University
- 2016-2018, Postgraduate Studies in Advanced Medical Imaging, KU Leuven, Belgium
- 2015, MSc in Micro and Nano Systems Technology, Buskerud and Vestfold University College, Norway
Research Project
Applying machine learning to analyse data from organs-on-chip
In my research, I will be focusing on AI-driven information fusion for improved organs-on-chip. One of my research tasks includes developing methods for data analysis using supervised learning and multimodal information fusion to assist decision-making during ongoing experiments. In addition, I will explore, in collaboration with others, if additional biological information can be gathered from the data as compared to currently used methods.
This interdisciplinary research project is aimed at exploring how machine learning and the combination of different types of data can be utilised to improve decisions during ongoing experiments on organs-on-chip as well as its potential for identifying new biological information.
Research Themes
The Biomedical Engineering Division's research is consolidated under four key research themes; precision medicine, sustainability, antimicrobial resistance and data driven life science. My research is focused on precision medicine and data driven life science
Key Competences
- Machine learning
- Image processing
Contact
Profiles
ORCID: 0000-0002-2891-5435