Raymond Tu

Assistant Clinical Professor

Machine Learning

Creating authentic research in areas such as computer vision, natural language processing, and data analytics.


Advancing the techniques in identity authentication for the security of networks and telecommunications.

Computer Science

Studying of the theory, experimentation, and engineering that form the basis for the design and use of computational systems.


I'm the founding faculty and research educator of Capital One Machine Learning (COML), a First-Year Innovation & Research Experience (FIRE) stream at the University of Maryland (UMD) since 2018.

At Capital One Machine Learning, we are starting an initiative to provide undergrad students with authentic research experience in Machine Learning in their first and second year at UMD. FIRE:COML provides students authentic research experience, broad mentorship and degree credit that impact academic success, personal development, a strong sense of community and professional opportunity. We do this through 5 key promises: authentic research practices, discovery, broadly relevant work, collaboration and developed resilience. After their one year of research experience with us, our students will be well-trained and ready to work at various research centers and labs in our university and beyond.


Email: [email protected]

Mail: 2337 Atlantic Building, University of Maryland, College Park, MD 20742

Office: 2217 Biology-Psychology Building, University of Maryland, College Park, MD 20742