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22memberName : Danielle Van Boxel
3- memberTitle : Graduate Associate
4- memberEducation : PhD
3+ memberTitle :
4+ - Graduate Associate
5+ currentPosition : Research Staff Mathematician at an FFRDC
56memberDate : 2022
67memberDateEnd : " 2024"
78memberBio : With a background in statistical computing, Danielle's research
8- approaches ensemble machine learning. Her PhD dissertation focused on
9- developing novel regression and classification algorithms that show consistent
10- precision in a wide range of datasets. Danielle also mentors junior graduate
11- students in scientific computing and contributes to grant writing within the
12- lab.
9+ focuses on ensemble machine learning. Her PhD dissertation developed novel
10+ regression and classification algorithms that show consistent precision in a
11+ wide range of datasets. Danielle also mentors junior graduate students in
12+ scientific computing and contributes to various current lab studies. She is
13+ currently a Research Staff Mathematician at an FFRDC.
1314tags :
1415 - Former
1516 - PhD student
1617linkedin : null
1718email : vanboxel@math.arizona.edu
1819github : dvbuntu
19- link : https://dvbuntu.github.io
2020resume : null
21+ memberEducation : PhD
22+ link : https://dvbuntu.github.io
2123image : /assets/images/our-team/danielle-van-boxel.png
2224imageAlt : Portrait of Danielle Van Boxel
2325order : 4
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