I've lectured for courses such as:
Fondamenti di Informatica Laboratorio (Dept. of Engineering and Computers Science, University of Pavia, Italy);
Molecular Simulations (Master in Bioinformatics for Health Sciences, Universitat Pompeu Fabra, Spain);
High Performance Computing (Master in Bioinformatics for Health Sciences, UPF);
Fonts i tecnologies de la informació (Biologia Humana, UPF);
...as well as a number of PhD-oriented seminars, e.g. on...
Markov models for biomolecular simulations;
AI in drug discovery and proteomics;
Software for analysis of molecular trajectories.
I am happy to supervise qualified undergraduate (laurea triennale e specialistica) and PhD (dottorato) students willing to work on computation-based projects. Mentoring will take place in collaboration with your academic advisor ("relatore") at your home institution.
Projects are currently available in the following research areas (inquire for details):
Statistical learning algorithms and their application in biomolecular simulations, computational chemistry, and other big data sets.
Adaptation of biostatistical algorithms and models, with their application to, e.g., disease progression, survival prediction, and motion analysis.
A degree-in-the-making: students of engineering, physics, and chemistry and biology (as long as you have an interest in quantitative and computational aspects) courses will usually find interesting and challenging projects.
A reasonable knowledge of computer programming and of the English language.
A professor in your institution supporting the project ("relatore interno").
You will be developing analysis methods with the aim to contribute to actual, ongoing research and scholarly papers.
We'll collaborate with Italian or foreign institutions, depending on your interest, topic, and availability of data.