Ben Toms receives DOE Computational Science Graduate Fellowship
M.S. student Ben Toms has been awarded a 2017 Department of Energy Computational Science Graduate Fellowship. According to the Krell Institute, “the Department of Energy Computational Science Graduate Fellowship (DOE CSGF) provides outstanding benefits and opportunities to students pursuing doctoral degrees in fields that use high-performance computing to solve complex science and engineering problems.”
The fellowship fully covers Ben’s tuition and fees and affords him an annual stipend. He will apply the fellowship to using machine learning algorithms such as neural networks to analyze massive quantities of data relating to the Madden-Julian oscillation.
“The general question is: can machine learning algorithms infer relationships beyond those distinguished via typical objective analysis techniques? I’ll initially be applying these machine learning algorithms to cloud-resolving model output, but I will also integrate reanalysis data and satellite-based observations into my analyses,” Ben explained.
According to Department Head Jeff Collett, this is only the second DOE CSGF awarded to an ATS student. Ben also was offered a Department of Defense fellowship but was allowed to accept just one, due to federal rules.
“What a wonderful achievement this is, being offered two highly prestigious fellowships. Congratulations Ben!! It is a pity that you have to choose one,” Sue van den Heever, Ben’s advisor, said in response to the announcement.
More information on the DOE Computational Science Graduate Fellowship