Dr. Dani Suandi is an academic and researcher with expertise in Applied Mathematics, Machine Learning, Data Analytics, and Epidemiology. His research focuses on applying mathematical and data-driven approaches to solve complex real-world problems, particularly in health and analytical domains. In his role as Subject Content Coordinator, he is responsible for overseeing and continuously updating the curriculum in computer science study program, ensuring its relevance, academic rigor, and alignment with current scientific, skill related, and industry developments.