From b7c4ce01b575cad32c38ec9c628d3ca826ecd455 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Cristian=20Rom=C3=A1n=20Palacios?= Date: Wed, 17 Apr 2024 10:43:17 -0700 Subject: [PATCH] =?UTF-8?q?Update=20Team=20=E2=80=9Cdanielle-van-boxel?= =?UTF-8?q?=E2=80=9D?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- src/team/danielle-van-boxel.md | 23 ++++++++++++++--------- 1 file changed, 14 insertions(+), 9 deletions(-) diff --git a/src/team/danielle-van-boxel.md b/src/team/danielle-van-boxel.md index 78b1b41..fcdbe93 100644 --- a/src/team/danielle-van-boxel.md +++ b/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: vanboxel@math.arizona.edu -github: dvbuntu link: https://dvbuntu.github.io -resume: image: /assets/images/our-team/danielle-van-boxel.png -imageAlt: Portrait of Danielle Van Boxel ---- \ No newline at end of file +memberTitle: PhD candidate / Graduate Associate +---