In this seminar, I will present my research at the intersection of computational biology, open-source software development, and machine learning, with a focus on biodiversity-related data. I will present recent work on the population genomics of Prosopis cineraria (Ghaf tree), where large-scale genomic data were used to investigate genetic diversity, relatedness, and population structure. I will also discuss related work on genome assembly and functional annotation in non-model species, such as Citrullus colocynthis, as well as the development of open-source tools for phylogenetic and comparative analyses. In the second part of the seminar, I will briefly discuss some of my broader research interests in computational biodiversity, including population genomics, phylogenomics, machine learning approaches for biological data, and open-source computational workflows.
Dr. Anestis Gkanogiannis is a bioinformatics scientist with a PhD in machine learning and more than ten years of experience in genomics, computational biology, and applied artificial intelligence. He has worked at research institutes and international organizations across Europe, the Middle East, North America, and Latin America, on topics including population genomics, genome assembly and annotation, phylogenetics, open-source software development, and machine learning applications for biological data.
