alfontal / vasculitis2022-conference

Tracing Tokyo’s air sources to identify Kawasaki Disease’s etiological triggers

Welcome to my profile 👋

I'm Alejandro, a researcher from Barcelona specialized in the application of Data Science in several areas, including but not limited to Bioinformatics, Epidemiology and Computational Biomedicine. Feel free to reach me in any of the socials I left above!

Current role

I am currently performing my research in the Barcelona Institute for Global Health (ISGlobal), while pursuing a PhD in the University of Barcelona (UB) funded by a Marie Skłodowska-Curie Actions Fellowship under the umbrella of the HELICAL Innovative Training Network.

In my research project, I combine tools from Time Series Analysis, GIS, Metagenomic sequencing and Epidemiology to try to find out what are the etiologic agents causing a pedriatric syndrome affecting thousands of children every year: Kawasaki Disease.

Technology Stack

vasculitis2022-conference's Issues

vasculitis2022-conference/summary

Tracing Tokyo’s air sources to identify Kawasaki Disease’s etiological triggers — KD and Tokyo's air sources

https://alfontal.github.io/vasculitis2022-conference/summary.html

vasculitis2022-conference/kd_tokyo_air_sources

Full code and analysis — KD and Tokyo's air sources

https://alfontal.github.io/vasculitis2022-conference/kd_tokyo_air_sources.html