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The fellowship is an acknowledgment of accomplishments and contributions within the community of scientists who study light.

Kelsey Fulton, an avid rock climber, puts discipline and determination into her research, which explores the human factors of information security with a focus on software developers and security professionals.

The researchers will focus their efforts on developing a theory of deep learning based on rigorous mathematical principles.

The University of Maryland Center for Machine Learning will host four outstanding female researchers this fall as part of a program that encourages and supports underrepresented doctoral candidates whose research and scholarship is focused on machine learning.

Their work will focus on actionable solutions, transparency and civic engagement for lower-income residents that rely on bus and light rail systems.

She is joined on the project by UMD faculty members Shihab Shamma, a professor of electrical and computer engineering and Behtash Babadi, an associate professor of electrical and computer engineering.

Cong Zhang is the inaugural recipient of the MC2 fellowship, which was established earlier this year to attract highly-motivated candidates to UMD to conduct research and scholarship.

The program, with administrative support provided by the University of Maryland Institute for Advanced Computer Studies (UMIACS) and participation by several UMIACS faculty, kicked off this fall with one introductory course.

He has been funded to develop algorithms that prioritize who to test and when, and provide fundamental new insights to how future epidemics can be controlled.

His lab is working to improve functional annotation across gut microbiome species, combining computational and wet-lab techniques to identify genes responsible for health-relevant functions, and developing new strategies to measure the metabolic output of the gut microbiome.