My career is defined by bridging the gap between cutting-edge computational methods and complex biological challenges, leading both the strategic vision and the hands-on engineering required to innovate in this space.

I am also the main developer of LightDock, an open-source framework for macromolecular modeling. I am passionate about mentoring the next generation of computational scientists and actively supervise MSc theses specializing in structural biology, AI, and deep learning.

I am deeply motivated by the next frontier of generative AI and its potential to revolutionize how we understand and design proteins. I am always open to connecting with fellow researchers, developers, and tech leaders who share a passion for the intersection of artificial intelligence and biology.