Update Team “danielle-van-boxel”

src/team/danielle-van-boxel.md

@@ -1,19 +1,24 @@
 ---
-order: 30
 memberName: Danielle Van Boxel
-memberTitle: PhD candidate / Graduate Associate
 memberDate: 2022
+memberBio: With a background in statistical computing, Danielle research
+  approaches ensemble machine learning.  Her PhD dissertation focuses on
+  developing novel regression and classification algorithms that show consistent
+  precision in a wide range of datasets. Danielle also mentors junior graduate
+  students in scientific computing and contributes to grant writing within the
+  lab. 
+github: dvbuntu
+resume: null
+imageAlt: Portrait of Danielle Van Boxel
+order: 30
+date: 2024-04-17T10:43:00.000Z
 memberDateEnd: Present
-memberBio: With a background in statistical computing, Danielle research approaches ensemble machine learning.  Her PhD dissertation focuses on developing novel regression and classification algorithms that show consistent precision in a wide range of datasets. Danielle also mentors junior graduate students in scientific computing and contributes to grant writing within the lab. 
 tags:
   - Current
   - PhD student
-  - Staff
-linkedin:  
+linkedin: null
 email: [email protected]
-github: dvbuntu
 link: https://dvbuntu.github.io
-resume: 
 image: /assets/images/our-team/danielle-van-boxel.png
-imageAlt: Portrait of Danielle Van Boxel
----
+memberTitle: PhD candidate / Graduate Associate
+---