معرفی
Dr. Tomasz Kurowski serves as a Lecturer in Bioinformatics at Cranfield University's Centre for Soil, Agrifood and Biosciences. With expertise spanning bioinformatics, genomics, and digital agriculture, he bridges computational approaches with practical agricultural applications to address challenges in crop improvement and sustainable food production.
Dr. Kurowski earned his undergraduate degree in Medical Biotechnology from the Silesian University of Technology in 2011 followed by an MSc in Applied Bioinformatics from Cranfield University in 2013. His academic background combines biological sciences with computational expertise, positioning him at the intersection of these critical fields.
His research program focuses on developing high-performance computational solutions for biological data management, particularly in plant genomics. Dr. Kurowski specializes in genome assembly techniques, whole genome sequencing methodologies, and genetic mapping of phenotypic traits. His work has significant applications in agricultural technology, including the development of the SMIS system which applies machine learning and big data approaches to soil management in agricultural production. Current research centers on the assembly and mapping of red raspberry (Rubus idaeus) genomes to investigate the genetics of adventitious rooting in horticultural crops, with implications for improving propagation techniques and crop resilience.
Dr. Kurowski's publication record demonstrates consistent contributions to plant genomics and bioinformatics tool development, with recent work appearing in high-impact journals including Frontiers in Plant Science, Bioinformatics, and Theoretical and Applied Genetics. His research portfolio reflects a strategic focus on translating genomic insights into practical agricultural applications, particularly through the development of computational tools that enable biologists to work effectively with large-scale biological datasets.
As an educator and researcher, Dr. Kurowski contributes to advancing the application of bioinformatics in agricultural science, developing both the theoretical frameworks and practical software solutions needed to address contemporary challenges in food security and sustainable agriculture. His work exemplifies the growing importance of computational approaches in modern plant science and agricultural innovation.
