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

Teaching the theory, experimentation, and engineering techniques that lead to 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.

During the mid-point of the FIRE course sequence, COML students can apply during the spring of their first year to be a part of a 10-week immersive research experience with their chosen FIRE stream during this summer period. Students that are selected will be a part of the annual FIRE Summer Fellows Program.

After their one year of FIRE with COML, students will be well-trained in the discipline of machine learning and will have the opportunity to be recruited as a peer mentor or as an undergrad researcher at various research centers and labs of our university and beyond.

If you are an admitted freshman or transfer student and would like to apply to join FIRE:COML, please find the program application information here


Email: [email protected]
Office: 2217 Biology-Psychology Building, University of Maryland, College Park