Generate a tailored SOP for Dr. Fei Song. Improve your application with a focused, well-structured draft.
Fei Song is an Associate Professor in the School of Computer Science at the University of Guelph. He received his PhD from the University of Waterloo. In 1991, he joined the University of Guelph as a Research Associate and later held a Visiting Scholar position at the University of Massachusetts at Amherst in 1998, focusing on intelligent information retrieval. Song's research primarily revolves around the application of machine learning and artificial intelligence in natural language processing, encompassing areas like text classification, information retrieval, topic modeling, sentiment analysis, and text summarization. In the late 1980s, he contributed to the statistical paradigm shift in NLP, proposing a general language model for information retrieval based on Bayesian methods. His notable work includes research on topic modeling and developing advanced models combining long-range and local dependencies in texts. Additionally, his investigations into sentiment analysis target the classification of document reviews and have involved applying machine learning for feature selection methods. He has been instrumental in various grants, including the Ontario Centres of Excellence and the Natural Sciences and Engineering Research Council of Canada.
University of Guelph • Guelph, ON, Canada
Initial research position at the University following PhD completion.
University of Massachusetts at Amherst • Amherst, MA, USA
Worked within the Center for Intelligent Information Retrieval.
University of Guelph • Guelph, ON, Canada
Current position with a focus on machine learning and natural language processing.
Department of Clinical Studies. Offers MSc by thesis (2 years) and MSc by coursework (1 year).