Academic interests
During my PhD and first postdoc period, I worked on high-dimensional regression (large p, small n) in the context of undirected graphical models in the case of data coming from multiple sources. Currently, in the same setting, I am focusing on direct differential network estimation with stable variable selection and other methods of error control. Current goal is to learn how to estimate differential connections between variables in gene networks of cancer patients and controls.
I am curious about omics analysis, especially multi-omics data integration. I have experience with RNA-Seq, methylation and lipidomics data. My preferred coding language is R and I enjoy teaching and science popularization.
Background
Relevant work experience
- Postdoctoral fellow (assegno di ricerca) at the Institute of Applied Calculus of the national Research Council (Naples, Italy, July 2021 - July 2022)
Education
- PhD in Mathematics in Natural, Social and Life Sciences (Gran Sasso Science Institute, L'Aquila, Italy, 2021)
- BSc in Mathematics (Novosibirsk State University, Novosibirsk, Russia, 2016)
