Generate a tailored SOP for Dr. Thuntida Ngamkham. Improve your application with a focused, well-structured draft.
Thuntida Ngamkham is an Associate Professor (Teaching) at the University of Calgary, where she also serves as Co-Director of the Data Science Undergraduate Program. With a PhD in Statistics from the University of Regina, obtained in 2018, Ngamkham possesses a strong academic foundation in statistical methodologies and data analysis techniques. Her teaching portfolio includes several advanced courses such as Statistical Data Analysis, Statistical Modelling, and Computational Statistical Modelling. In recognition of her dedication to education, she received an Honourable Mention for the Teaching Excellence Award from the Student Union in 2020. Ngamkham’s commitment to enriching the academic experience of her students is reflected in her innovative course designs and hands-on approach to teaching statistical concepts. Her research interests are centered around statistical analysis, modeling, and application in real-world problems, particularly within data science. Continuously striving to improve her knowledge and teaching methods, she is dedicated to fostering a robust learning environment for her students. Ngamkham’s contributions to the academic community and her engagement in data science education underscore her role as a leader in her field.
University of Calgary • Calgary, AB, Canada
Teaching various statistics courses including Statistical Data Analysis and Statistical Modelling.
Department of Computer Science Master's program. GRE scores are expected for international students.