Amatus Zini

My research focuses on developing novel methodologies for analyzing large-scale datasets using computational models to address fundamental questions in data-driven science and optimization, while simultaneously applying these techniques to solve real-world problems in computational biology. My work emphasizes the scalability of machine learning algorithms and their ability to provide practical solutions for complex systems, bridging theoretical advancements with applied research.