Researcher at Laboratory of Data Engineering

I am a researcher at the Laboratory of Data Engineering, part of the RIT Institute at Area Science Park. I have a strong interest in understanding collective behaviors in biological systems, which has guided my work since my Master’s thesis in statistical physics. I specialize in studying how the evolution of biological sequences shapes molecular structure prediction algorithms. Recently, my research focuses on developing and applying Machine Learning and Deep Learning approaches to address challenging questions in computational biophysics.

Research Interests 

• Computational approaches to structural biology
• Deep Learning models for biological sequences
• Inference of molecular properties from evolutionary information

Experience & Education

• P.h.D: Statistical Biophysics at Scuola Internazionale Superiore di Studi Avanzati (SISSA), Trieste, Italy. Supervisor: Giovanni Bussi. Thesis title: Using direct-coupling analysis to predict RNA contacts
• Master Degree: Physics at Università Degli Studi Di Roma La Sapienza, Rome, Italy. Supervisor: Vincenzo Marinari. Thesis title: Ising model of post-transcriptional regulation networks