Danilo Symonette & Jeremy Rubin Selected for NSF Fellowship
URA Scholars win funding for graduate school
Congratulations to URA Scholars Danilo Symonette, and Jeremy Rubin, who have been selected for the NSF Graduate Research Fellowship Program. The GRF provides financial support for three years within a five-year fellowship period, comprising a $34,000 stipend per twelve-month fellowship year.
Danilo is a McNair Scholar and LSAMP participant. His research, "Towards the Automatic Assessment of Student Teamwork" explores how universities are increasingly using discussion platforms such as GroupMe and Slack to work virtually. However, little has been done so far to understand how to use the data these platforms generate to analyze student teamwork behaviors, and so to support or improve those behaviors. By building a model to automatically predict a student’s performance as a team member based on their exchanges with teammates is itself a significant contribution. Danilo has published several papers with his research mentor, Dr. Don Engel, in the Computer Science and Electrical Engineering department. He will present his project at URCAD 2020 (online), April 22-29th. In addition to the NSF GRFP which will financially support Danilo's graduate studies, Danilo has been admitted to the Computer Science Ph.D. programs at MIT and Stanford, and has also been offered a position at the Johns Hopkins University Applied Physics Lab.
Jeremy received offers of admission from the University of Pennsylvania (Biostatistics, PhD), Columbia University (Biostatistics, PhD), Johns Hopkins University (Biostatistics, PhD), North Carolina State University (Statistics, PhD), and the University of North Carolina at Chapel Hill (Biostatistics, PhD) and has accepted the offer of admission for the University of Pennsylvania. His research, "The Linear Maximal Sequence Kernel Association Test for Neuroimaging Studies" is directed by his mentor, Dr. Russell Shinohara, Associate Professor of Biostatistics, University of Pennsylvania, Department of Biostatistics, Epidemiology, and Informatics. This work was continued as a part of the UMBC MARC U*STAR Program, and will culminate in a senior thesis with UMBC's Department of Mathematics and Statistics this Spring. Jeremy is a Meyerhoff Scholar and member of the Honors College, and was a 2018-19 URA Scholar and URCAD presenter (Mentor: Dr. Erin Green). Ultimately, Jeremy aspires to pursue a career in academia as a research professor at a leading medical institution to further research in high-dimensional data analysis for biomedical imaging and allow for more accurate diagnosis and prevention of medical conditions.
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