Who am I?
My name is Francesco Blasio, and I am a biologist with a strong passion for plant science. I hold a Ph.D. in Biology, and throughout my academic and research career, my focus has always been on plants—their biology, genetics, and the complex mechanisms that regulate their growth and development. I have always been fascinated by the incredible diversity and adaptability of plants, which has driven my curiosity to explore them from different perspectives, both experimental and computational.
During my Master's in Bioinformatics, I discovered my enthusiasm for computational biology and data analysis, which completely reshaped my approach to scientific research. I realized how powerful bioinformatics tools can be in extracting meaningful insights from complex biological data, allowing us to deepen our understanding of plant biology in ways that were previously unimaginable. This experience solidified my interest in integrating computational methods with experimental plant research.
All the images and the video are taken with my camara at CBGP
Current Work
Recently, I joined the CBGP (CSIC), thanks to the Momentum project, where I am working on image analysis for an advanced automated phenotyping platform—the only one of its kind in Spain. This cutting-edge technology enables high-throughput, non-invasive plant monitoring, generating large-scale imaging datasets that provide valuable information on plant traits, stress responses, and overall development. My main role is to process and analyze these images to extract meaningful phenotypic traits that can be used for further biological interpretation. In addition to image analysis, I am also involved in multi-omics data analysis, integrating different layers of biological information to gain a more comprehensive understanding of plant systems. As part of my continuous professional growth, I have recently started exploring machine learning techniques to enhance data processing and extract even deeper insights from the vast datasets generated by the phenotyping platform. I am particularly excited about the potential of artificial intelligence in plant science, as it opens new avenues for discovery and innovation.
