Nicolò Alagna

About me

Nicolò Alagna
Postdoctoral researcher
nalagna@uni-mainz.de
Anselm-Franz-von-Bentzel-Weg 3, 55128 Mainz

Current project

My work focus on applying machine learning, deep learning and mathematical methods in biophysics, biochemistry and biology for quantitative analysis and modelling of systems that requires bid data analysis. In detail, I work with time series and meta data to extract fundamental system proprieties using advance and self designed algorithms for the analysis of the data.

I am currently working in two main projects: 1) Automatic Extraction of kinetic proprieties and polymer systems key features 2) Decoding of nanopore RNA signal for the detection of RNA modifications.

In addition, I have a side project on the identification and analysis of RNA methylation patterns in ageing for tissue age prediction.

The first main project focused on the analysis of time resolved signal using deep learning and mathematical methods for the automatized analysis of time resolved data and extraction of physical proprieties of the system (rate constants, kinetic model, etc). The aim of this project is to have deep learning support to understand complex kinetics and to understand both how to what control the system evolution.

In the second project, I am working with machine learning / deep learning techniques, but in this case applied to the analysis of the RNA signal obtained from Oxford Nanopore technologies. In this case, my goal is to find a method that can analyze the RNA signal with high precision for the identification of RNA modifications, which are linked to several diseases including cancer formation.

Publications