Developing and integrating experimental and computational tools to elucidate pathogenic events occurring in rare diseases
The GM program is composed of investigators with biomedical, engineering, and computer science backgrounds who work in close collaboration with the geneticists and molecular biologists within the Institute.
This makes TIGEM one of the few interdisciplinary institutes that applies computational biology approaches to genetic diseases.
The GM program plays a significant role at TIGEM, researchers are regularly encouraged to use innovative technologies and robust experimental and computational tools in their own research projects. These approaches include Next Generation Sequencing for DNA and RNA sequencing in single cells, machine learning approaches to drug repositioning, and microfluidics technology for cell culture and quantitative biology.
Coordinator: Diego di Bernardo
My research goals are to elucidate the molecular basis of inherited disorders, and particularly of neurodegenerative conditions. I am now particularly interested in gaining insight into the contribution of noncoding RNAs to pathophysiological processes.
My research uses integrated genomics approaches to study stem cell biology and identify the mechanisms controlling cell decisions. I recently had the chance to develop an NGS-based project on COVID-19, for which we successfully analyzed thousands of SARS-CoV-2 genomic variants and patients’ transcriptomic profiles.
Phone: +39 08119230646
Diego di Bernardo
I am a Biomedical Engineer by training and I believe that cross-disciplinary research blending Engineering with Molecular and Cell Biology will greatly advance our understanding of rare and complex diseases and how to treat them.
Computational machine learning combined with human decision making, I believe, is the road we have to pursue for effective and individualized treatment.
Without the Telethon Institute of Genetics and Medicine, more advanced research on genetic diseases in Italy would be much more difficult and almost daunting.