I enjoy working with data-driven problems and thinking about how modeling choices, assumptions, and interpretation affect conclusions in practical applications.
Lecturer
I am interested in how data science and statistics turn real data into useful insight. I enjoy working with data-driven problems and thinking about how modeling choices, assumptions, and interpretation affect conclusions in practical applications.
I enjoy teaching because I like helping students learn how to work with data in a thoughtful and practical way. Seeing students connect concepts to real datasets and gain confidence in using data to answer questions is what motivates me.
My teaching philosophy emphasizes hands-on learning and clear reasoning. I focus on helping students understand the “why” behind methods, not just the “how,” and encourage active participation, discussion, and learning through real data examples.
I hope students leave my classes with the ability to think critically about data, communicate results clearly, and apply data science tools responsibly in academic, professional, and real-world settings.