Pavel Baikalov

- Actively contributed to the development and application of advanced data analytics techniques for soil spectra analysis. - Played a pivotal role in advising on spectral analysis methods to predict soil organic carbon (SOC). - Made significant contributions to the PHENET project (https://www.phenet.eu/en)

- Developed and implemented a software for the analysis of plant roots. - Conducted hyperspectral image analysis of plant roots and soil data to enhance root research capabilities. - Designed and developed interface tools for the automatic minirhizotron camera system. - Contributed to the Future Arctic project (https://www.futurearctic.be/the-project/) and ATTRACT project “NextMR-IAA” (https://phase1.attract-eu.com/showroom/project/enabling-next-level-research-on-roots-automatizing-minirhizotron-image-acqui

Medical imaging: Pre-processing of immunofluorescent images from induced stem-cell neurons. Application of advanced normalization and binarization techniques to enhance cell segmentation accuracy.

- Acquired hands-on experience with software used in fish farm operations and management. - Managed fish farm operations and implemented sustainable practices to improve efficiency and reduce environmental impact.

- Conducted bioinformatics analysis of genetic sequences. - Analyzed the relationship between insertion/deletion bias and point mutation bias in DNA sequence evolution. - Contributed to a protein conformation prediction model project called Torsional Network Model (TNM), focusing on analyzing its accuracy.

Master thesis: Semantic segmentation of peripheral blood leukocytes using neural networks http://hdl.handle.net/10609/90265

Studied General Biology with a strong emphasis on laboratory techniques and statistics. Completed courses such as: - Data Analysis - Biochemistry - Genetics - Immunology - Integrated Laboratory - Programming Tools in Biochemistry and Molecular Biology - Genomes Organization and Functi