Yasi Dani is a lecturer and researcher with academic interests in Computational Mathematics, Machine Learning, and Data Processing. His work focuses on the application of mathematical modeling and computational methods to analyze, process, and extract insights from complex datasets. He is particularly interested in integrating machine learning techniques with rigorous mathematical foundations to support data-driven analysis and intelligent systems. In his academic role, he emphasizes analytical thinking, algorithmic efficiency, and accurate data processing methodologies. Through teaching and research, he is committed to advancing the development of robust computational and data-centric solutions.