My academic journey began in pharmaceutical sciences, providing a solid foundation in drug development and biological processes.
I transitioned to pharmacoinformatics during my master’s, focusing on structural biology to deepen my understanding of protein dynamics.
Building on this, my PhD in drug design leveraged my structural biology expertise to unravel complex protein behaviors.
As a postdoctoral researcher in France, I specialized in computer-aided drug discovery, refining computational methodologies to tackle drug development challenges.
Collaborating on diverse biological targets, I contributed to multidisciplinary teams, addressing intricate research questions in drug discovery.
Over the past two years, I’ve embraced a focus on nanomaterials and machine learning, seamlessly integrating my skills in structural biology, drug design, and computational tools.
This evolution has broadened my research scope, enabling innovative approaches in materials science and predictive modeling, while amplifying the impact of my work on emerging scientific challenges.
