Raymond H. Tu

Assistant Clinical Professor

Machine Learning

Using statistical and algorithmic techniques to give computer systems the ability to "learn" from data, without being explicitly programmed.


Protecting computer systems from theft or damage to their hardware, software or electronic data, as well as from disruption or misdirection of the services they provide.

Computer Science

Studying the theory, experimentation, and engineering that form the basis for the design and use of information, computation, and their implementation in computer systems.

FIRE Capital One Machine Learning Logo

FIRE Capital One Machine Learning Poster

Hi, 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.

FIRE Capital One Machine Learning is an Innovation and Research stream that provides undergrad students with authentic research experience in Machine Learning in their first and second year at UMD. By joining this program, students receive 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. A select number of FIRE COML students will be a part of the annual FIRE Summer Fellows Program.

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

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

If you are prospective academic, industry, or government partner and would like to collaborate with FIRE COML on a machine learning project, please find the collaboration information here.


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