Complex microbial Ecosystems MUltiScale modElling:
mechanistic and data driven approaches integration
"I will investigate the use of kernel methods to process and integrate the large-scale multi-omics datasets that are increasingly available thanks to the substantial development of high-throughput biotechnologies."
I’m Mitja Briscik and I am a PhD student at the Institute of Mathematics of the Université Paul Sabatier Toulouse III (UT3).
After being part of the FVG Symphonic Orchestra as a violinist and finishing my bachelor's in Statistics at the University of Trieste in Italy, I obtained a master's degree in Theoretical Statistics and Data Science at KU Leuven in Belgium with a thesis on "Boundary estimation in deconvolution problems with unknown error variance." Now at UT3, I will investigate the use of kernel methods to process and integrate the large-scale multi-omics datasets that are increasingly available thanks to the substantial development of high-throughput biotechnologies. Moreover, I will try to bridge the methodological developments and relevant applications in systems biology to obtain methods that are eventually readily usable in practice.
The unique opportunity offered by the E-MUSE project allows me to work alongside people from different academic backgrounds and nationalities, creating a unique atmosphere that represents a catalyst to the success of the research. I am very excited to be part of this stimulating environment since this project may have a massive impact in many research fields, such as biology, medicine, food science and data science.