Eleonora Gianti

Research interests at the Gianti Lab lie at the interface of computational chemistry, molecular biophysics and machine learning. By these approaches, we address fundamental questions that seek to unravel transformative processes in life science. Ultimately, our work will contribute to the development of innovative strategies and therapeutic approaches for treating human diseases, helping to translate fundamental research findings into impactful biomedical applications. We bring an interdisciplinary background that bridges research experience in both academia and industry. Our research investigates complex biomolecular systems, including replication systems of emerging viral pathogens, ion channels involved in pain signaling and channelopathies, and protein networks underlying cancer development, with a particular interest in the mechanistic insights that will later inform therapeutic design. Additionally, we explore novel approaches to the design of bioinspired polymers for a wide range of applications (e.g., tissue engineering, textiles, etc.). Cross-cutting computational approaches power the core of our research programs. In particular, we are interested in the integration of HPC with computational innovation, big data analytics and artificial intelligence as a means to solve complex and computationally intensive scientific problems. Moving forward, we continue to seek opportunities to broaden our expertise and integrate emerging tools into our research, teaching and mentoring.