
Dr Giorgio Bianchini
BSc, MSc, PhD
Current positions
Senior Research Associate
School of Geographical Sciences
Contact
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Research interests
I am currently a Senior Research Associate at the School of Geographical Sciences at the University of Bristol, working on a project that looks at the evolution of cold adapted Cyanobacteria. I am generally interested in the development of computational methods for phylogenetic studies; during my PhD (also at the University of Bristol), I have applied some of these methodologies to better understand the origin of photosynthesis and salt tolerance in Cyanobacteria. The software I developed during my PhD include sMap (a program to study trait evolution using stochastic mapping) and TreeViewer (a new program to draw and analyse phylogenetic trees).
I obtained my BSc in Biological Sciences at the University of Pisa (Italy) with a dissertation on convergent evolution in three-spined stickleback (Gasterosteus aculeatus) populations. I completed my MSc project on Conservation and Evolution at the same university. I studied the applicability of miRNA cluster sequences as phylogenetic markers (using simulated sequences and real data from mammals and cyprinodontiform fishes). I also developed a computational method to choose the best markers to implement in phylogenetic analyses. During both my Master’s and Bachelor’s I was an Allievo Ordinario of the Scuola Normale Superiore, a leading institution in the Italian research system.
For more information, you can access my personal website from https://giorgiobianchini.com/.
Publications
Recent publications
01/11/2024Inhibition of phototrophic iron oxidation by nitric oxide in ferruginous environments
Nature Geoscience
Stochastic Character Mapping, Bayesian Model Selection, and Biosynthetic Pathways Shed New Light on the Evolution of Habitat Preference in Cyanobacteria
Systematic Biology
TreeViewer
Ecology and Evolution
The occurrence of 2-methylhopanoids in modern bacteria and the geological record
Geobiology
Cyanobacteria and biogeochemical cycles through Earth history
Trends in Microbiology
Thesis
Bayesian methods using genomic data to gain insights into the history of photosynthesis
Supervisors
Award date
12/05/2022