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Computational Research Division Hosts UC Merced Grad Students

May 7, 2019

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Berkeley Lab's Dula Parkinson talks about his most recent beamline experiment at the ALS with graduate students from UC Merced who are interested in pursuing a career in computational science.

On May 1, a group of students from UC Merced, all participants in the National Science Foundation’s Interdisciplinary Computational Graduate Education (ICGE) program, visited Berkeley Lab to learn about the many ways computing can be applied to research problems.

Computational Research Division (CRD) Director David Brown, who hosted the group, gave the students an overview Berkeley Lab and the Computing Sciences Area, while Computing Sciences’ Associate Lab Director Kathy Yelick discussed trends in computer science research. There were also talks by CRD's Dan Martin, Dani Ushizima, Peter Nugent, Ann Almgren, and Katie Klymko on topics ranging from machine learning for biosciences and materials science to using adaptive mesh refinement for modeling ice sheet dynamics and other large-scale simulations. The group also took a tour of the Advanced Light Source.

Brown and Deputy Lab Director Horst Simon serve on the advisory board for the ICGE program, which is now in its third year. The program is designed to enhance student success and reduce graduate student attrition rates in the computational sciences, particularly for underrepresented minorities and first-generation students, while fostering computational and data analytic skills within an interdisciplinary framework.