What is the relationship between the structure, dynamics and functions of proteins? Can we computationally predict and tailor new functions into proteins? These are some of the fundamental questions that I aim to investigate. My research is highly interdisciplinary and lies at the interface of computational biology, data science, and structural biophysics.
My research interest focuses on engineering imperfection into protein design. Imperfections in proteins such as intrinsically disordered, dynamic and flexible regions are important for their function. Currently, simple physically models predicting these imperfections are lacking. With the expending size of structural and experimental data, machine-learning is thus the ideal tool for characterizing these imperfections and subsequently integrating them with the concepts underlying the computational modeling and design of biomolecules.