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2 changes: 1 addition & 1 deletion preview-update-submodules/featured-users.html
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Jimena Gonzàlez and Aashish Tripathee named 2023's David Swanson awardees
Jimena González and Aashish Tripathee named 2023's David Swanson awardees
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Expand Up @@ -825,7 +825,7 @@ <h1>OSG David Swanson Awardees Honored at HTC23</h1>
the quality of the images. Because of the volume of simulations she needs to train, González could
be left waiting for up to weeks using machine learning — and the tighter constraints, the greater
the waiting time. This put its own constraints on which properties she could experiment with. Some
ideas, Gonzàlez says, were impossible to do because she couldn’t do them quickly. Implementing HTC
ideas, González says, were impossible to do because she couldn’t do them quickly. Implementing HTC
shortened the waiting time from days to hours.</p>

<p>The OSG school also impacted other areas of González’s research, including training the machine and
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students who have taken what they learned at the OSG School and achieved great things with it, like
tackling a research problem or writing workflows from scratch after coming in with little to no
experience. Cartwright says committee members also look for applicants who can give back to the
community. Both Gonzàlez and Tripathee embody what the selection committee looks for, Koch explains.</p>
community. Both González and Tripathee embody what the selection committee looks for, Koch explains.</p>

<p>“What Jimena learned [from the OSG School] really helped her solve a problem that she wouldn’t have
been able to solve before. Aashish is tackling both a niche field of research with these resources
and also has been testing new features for us or letting us know when things aren’t working and has
had this ongoing relationship with us.”</p>

<p>Gonzàlez will continue to use HTC to model the mass distribution of each galaxy that produces a
<p>González will continue to use HTC to model the mass distribution of each galaxy that produces a
gravitational lens. People previously performed the computing for these models by hand, but as
the data accumulates, it becomes less feasible for humans to do this computing. To remedy this,
Gonzàlez will use machine learning to do the modeling because it requires a great deal of computational power.</p>
González will use machine learning to do the modeling because it requires a great deal of computational power.</p>

<p>Tripathee plans to continue using the OSG’s resources on new data and to conduct deeper searches
more quickly and efficiently. “With OSG, we didn’t have to fight and struggle for resources. Having
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