My research interests span a wide range of topics around the intersection of biology and computational science. Broadly speaking, my research has been a mixture of coarse-grained and detailed modeling, often involving gene regulatory networks, and development of algorithms and open source software.
Since the beginning of my research career, I have worked with Boolean gene regulatory network models, the HP model of protein folding, stem cell regulation, circadian clocks in plants, plant-pathogen interactions, evolutionary algorithms, degradation of soil organic matter by fungi and methods for processing spectroscopic imaging data. Most of this research has been cross-disciplinary in nature, and I have participated in two interdisciplinary themes: bio-inspired energy conversion and synthetic biology.
The building blocks of my research are things like ODE systems, graph algorithms, parameter optimization and more recently also iterative data processing algorithms and machine learning. My current work is focused on software and algorithms for vibrational spectroscopy imaging in the OCTAVVS project, and as well as biological and medical applications.
As an applications expert at CIPA, the Correlative Image Processing and Analysis software infrastructure at LU, I provide researchers with services within my field of expertise, in particular regarding 2D spectroscopic data processing. Feel free to contact me about developing, combining and visualizing steps such as data loading, pre-processing, dimensionality reduction and AI classification.
For up-to-date information about my supervision and teaching activities, software projects and CV, see my profile in Lund University research portal.
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