My works focus on characterizing, identifying, and quantifying the microbial abundance, the community composition and the complex relationships among microbiome, host and environment in different biological conditions.
Using basic and advanced statistical and data mining methods as well as high dimensional data visualization techniques, I perform downstream analysis including both multivariate parametric and non-parametric methods, test microbiome hypotheses and high resolution visualization for large scale data (network analysis). I also exploit and apply data regression and data dynamic modeling like as random forests, linear mixed models, Markov multi-state modeling as well as probabilistic modeling for microbial metagenomic data.
Ph.D., Geography and Remote Sensing- University of Strasbourg, France
Adv: D. Badariotti, C. Weber
Master, Geography- University of La Rochelle, France
B.S., Geography- University of Hue, Vietnam
Microbiome Data Analyst, Jackson Laboratory in Farmington, USA
Geospatial Data Analyst for Energy Transition, Urban Planning and Development Agency of Strasbourg (ADEUS), France
Geospatial Data Analyst for Environment and Urban Planning, Image Ville Environment Laboratory, University of Strasbourg
Lecturer in Geographic Information System and Remote Sensing, Department of Geography, University of La Rochelle, University of Strasbourg, France