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sitemap.xml

@@ -2,46 +2,46 @@
 <urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
   <url>
     <loc>https://RConsortium.github.io/RMedicine_website/Attend.html</loc>
-    <lastmod>2024-06-05T12:23:22.198Z</lastmod>
+    <lastmod>2024-06-07T15:19:27.524Z</lastmod>
   </url>
   <url>
     <loc>https://RConsortium.github.io/RMedicine_website/Register.html</loc>
-    <lastmod>2024-06-05T12:23:22.202Z</lastmod>
+    <lastmod>2024-06-07T15:19:27.528Z</lastmod>
   </url>
   <url>
     <loc>https://RConsortium.github.io/RMedicine_website/speaker_info.html</loc>
-    <lastmod>2024-06-05T12:23:22.242Z</lastmod>
+    <lastmod>2024-06-07T15:19:27.584Z</lastmod>
   </url>
   <url>
     <loc>https://RConsortium.github.io/RMedicine_website/Program.html</loc>
-    <lastmod>2024-06-05T12:23:22.198Z</lastmod>
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   </url>
   <url>
     <loc>https://RConsortium.github.io/RMedicine_website/workshops.html</loc>
-    <lastmod>2024-06-05T12:23:22.242Z</lastmod>
+    <lastmod>2024-06-07T15:19:27.584Z</lastmod>
   </url>
   <url>
     <loc>https://RConsortium.github.io/RMedicine_website/Competition.html</loc>
-    <lastmod>2024-06-05T12:23:22.198Z</lastmod>
+    <lastmod>2024-06-07T15:19:27.524Z</lastmod>
   </url>
   <url>
     <loc>https://RConsortium.github.io/RMedicine_website/index.html</loc>
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   </url>
   <url>
     <loc>https://RConsortium.github.io/RMedicine_website/committees.html</loc>
-    <lastmod>2024-06-05T12:23:22.202Z</lastmod>
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   </url>
   <url>
     <loc>https://RConsortium.github.io/RMedicine_website/Contact.html</loc>
-    <lastmod>2024-06-05T12:23:22.198Z</lastmod>
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   </url>
   <url>
     <loc>https://RConsortium.github.io/RMedicine_website/Events.html</loc>
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   </url>
   <url>
     <loc>https://RConsortium.github.io/RMedicine_website/Abstracts.html</loc>
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   </url>
 </urlset>

workshops.html

@@ -158,17 +158,17 @@ <h2 id="toc-title">On this page</h2>
 <h2 class="anchored" data-anchor-id="workshops">Workshops</h2>
 <div class="columns">
 <div class="column" style="width:45%;">
-<section id="travis-gerke-and-lucy-dagostino-mcgowan" class="level3">
-<h3 class="anchored" data-anchor-id="travis-gerke-and-lucy-dagostino-mcgowan">Travis Gerke and Lucy D’Agostino McGowan</h3>
+<section id="travis-gerke" class="level3">
+<h3 class="anchored" data-anchor-id="travis-gerke">Travis Gerke</h3>
+<p><img src="images/travis.jpeg" class="img-fluid"></p>
 </section>
 <section id="biography" class="level3">
 <h3 class="anchored" data-anchor-id="biography">Biography</h3>
 <p>Travis Gerke is an epidemiologist and open-source software developer. After receiving his Ph.D.&nbsp;in epidemiology from the University of Southern California, he worked as a data scientist at Apple and Posit. His work has focused on causal inference methodology and software development, including many R packages for causal inference. Collectively, open-source tools he has authored have millions of downloads. Malcolm also teaches workshops and courses in R, software development, and causal inference.</p>
-<p><img src="images/Lucy_D_M.jpg" class="img-fluid"></p>
 </section>
-<section id="biography-1" class="level3">
-<h3 class="anchored" data-anchor-id="biography-1">Biography</h3>
-<p><a href="https://www.lucymcgowan.com/about/">Lucy D’Agostino McGowan</a> is an assistant professor in the Department of Statistical Sciences at Wake Forest University. She received her PhD in Biostatistics from Vanderbilt University and completed her postdoctoral training at Johns Hopkins University Bloomberg School of Public Health. Her research focuses on analytic design theory, statistical communication, causal inference, and data science pedagogy.</p>
+<section id="contributors" class="level3">
+<h3 class="anchored" data-anchor-id="contributors">Contributors</h3>
+<p>The materials for this workshop were developed by Malcolm Barrett and Lucy D’Agostino McGowan.</p>
 </section>
 </div><div class="column" style="width:10%;">
 <!-- empty column to create gap -->
@@ -193,8 +193,8 @@ <h3 class="anchored" data-anchor-id="drs.-gerke-and-mcgowan-on-the-web">Drs. Ger
 <h3 class="anchored" data-anchor-id="joy-payton">Joy Payton</h3>
 <p><img src="images/Payton.jpeg" class="img-fluid"></p>
 </section>
-<section id="biography-2" class="level3">
-<h3 class="anchored" data-anchor-id="biography-2">Biography</h3>
+<section id="biography-1" class="level3">
+<h3 class="anchored" data-anchor-id="biography-1">Biography</h3>
 <p><a href="https://www.linkedin.com/in/joypayton/">Joy Payton</a> is the Supervisor of Data Education at the Children’s Hospital of Philadelphia, where her goal is to make every scientist a data scientist. She has earned a Masters degree in Data Science from the City University of New York (CUNY), an Information Systems Security certificate from Penn State University, and her undergraduate degree at Agnes Scott College (Go Scotties!). She is a Google Cloud Certified Associate Cloud Engineer and an AWS Certified Cloud Practitioner.</p>
 </section>
 </div><div class="column" style="width:10%;">
@@ -226,8 +226,8 @@ <h3 class="anchored" data-anchor-id="joy-payton-on-the-web">Joy Payton on the We
 <h3 class="anchored" data-anchor-id="garrick-aden-buie">Garrick Aden-Buie</h3>
 <p><img src="images/garrick-profile.jpg" class="img-fluid"></p>
 </section>
-<section id="biography-3" class="level3">
-<h3 class="anchored" data-anchor-id="biography-3">Biography</h3>
+<section id="biography-2" class="level3">
+<h3 class="anchored" data-anchor-id="biography-2">Biography</h3>
 <p><a href="https://www.garrickadenbuie.com/">Garrick Aden-Buie</a> is an software engineer for Shiny at Posit. He received a BS from Lehigh University in Applied Mathematics, and developed smart home sensors for healthy aging in place at the University of South Florida, before becoming a data scientist at Moffit Cancer Center. At Posit, Garrick builds tools that help everyone do data science in R with RMarkdown, Quarto, and Shiny.</p>
 </section>
 </div><div class="column" style="width:10%;">
@@ -282,8 +282,8 @@ <h3 class="anchored" data-anchor-id="stephan-kadauke-and-will-beasley-on-the-web
 <h3 class="anchored" data-anchor-id="catalina-canizares-escobar-and-francisco-cardozo">Catalina Canizares-Escobar and Francisco Cardozo</h3>
 <p><img src="images/catalina.jpeg" class="img-fluid"> <img src="images/francisco.jpeg" class="img-fluid"></p>
 </section>
-<section id="biography-4" class="level3">
-<h3 class="anchored" data-anchor-id="biography-4">Biography</h3>
+<section id="biography-3" class="level3">
+<h3 class="anchored" data-anchor-id="biography-3">Biography</h3>
 <p><a href="https://global.fiu.edu/world-centers/world-center-colombia/fulbrighters/catalina-canizares-escobar.html">Catalina Cañizares</a> is a passionate data scientist and a Ph.D.&nbsp;candidate in Social Welfare, dedicated to using data to gain insights into emotional disorders. She has been delving deep into data analysis, especially with R. Her focus? Making data understandable and useful. She specializes in cleaning and merging data, and loves exploring data with tools like tidyverse, table1, gtsummary, and skimr, among others. She is also interested in using Machine Learning models, with the tidymodels package, to better understand emotional disorders. Plus, She is all about keeping things clear and reproducible by using tools such as Quarto.</p>
 <p><a href="https://focardozom.github.io/">Francisco Cardozo</a> is a PhD canidate in prevention science and community health, he specializes in applying quantitative techniques to evaluate the efficacy of prevention programs, focusing on understanding the dynamics of how and for whom these programs are most effective. He is dedicated to developing precise measurements and analyses that inform decisions about program operations. Francisco is passionate about translating resource science into practical, real-world applications.</p>
 </section>
@@ -321,8 +321,8 @@ <h3 class="anchored" data-anchor-id="speakers-on-the-web">Speakers on the Web</h
 <h3 class="anchored" data-anchor-id="shannon-pileggi">Shannon Pileggi</h3>
 <p><img src="images/shannon_pileggi.jpeg" class="img-fluid"></p>
 </section>
-<section id="biography-5" class="level3">
-<h3 class="anchored" data-anchor-id="biography-5">Biography</h3>
+<section id="biography-4" class="level3">
+<h3 class="anchored" data-anchor-id="biography-4">Biography</h3>
 <p><a href="https://www.pipinghotdata.com/">Shannon Pileggi</a> is a former statistics college professor now working in industry. I love wrangling, analyzing, and visualizing data, and helping others do the same. Shannon is a member of the leadership team for R-Ladies Global and works as the Lead Data Scientist for the Prostate Cancer Clinical Trials Consortium (PCCTCC).</p>
 </section>
 </div><div class="column" style="width:10%;">
@@ -336,7 +336,7 @@ <h3 class="anchored" data-anchor-id="abstract-5">Abstract</h3>
 </section>
 <section id="shannon-pileggi-on-the-web" class="level3">
 <h3 class="anchored" data-anchor-id="shannon-pileggi-on-the-web">Shannon Pileggi on the Web</h3>
-<p>Shannon is a former statistics professor now working in industry with the The Prostate Cancer Clinical Trials Consortium (PCCTC). I love wrangling, analyzing, and visualizing data, and helping others do the same. Shannon is a member of R-Ladies Global in Pennsylvania, and can be found blogging at <a href="https://www.pipinghotdata.com/">Piping Hot Data</a>, on Mastodon <a href="https://fosstodon.org/@PipingHotData">fosstodon.org/<span class="citation" data-cites="PipingHotData">@PipingHotData</span></a>, and carefully labeling all her <a href="https://www.pipinghotdata.com/posts/2022-09-13-the-case-for-variable-labels-in-r/">data</a>.</p>
+<p>Shannon is a former statistics professor now working in industry with the The Prostate Cancer Clinical Trials Consortium (PCCTC). I love wrangling, analyzing, and visualizing data, and helping others do the same. Shannon is a member of R-Ladies Global in Pennsylvania, and can be found blogging at <a href="https://www.pipinghotdata.com/">Piping Hot Data</a>, on Mastodon <a href="https://fosstodon.org/@PipingHotData">fosstodon.org/@PipingHotData</a>, and carefully labeling all her <a href="https://www.pipinghotdata.com/posts/2022-09-13-the-case-for-variable-labels-in-r/">data</a>.</p>
 </section>
 </section>
 </div>
@@ -347,8 +347,8 @@ <h3 class="anchored" data-anchor-id="shannon-pileggi-on-the-web">Shannon Pileggi
 <h3 class="anchored" data-anchor-id="mitchell-ohara-wild">Mitchell O’Hara-Wild</h3>
 <p><img src="images/mitchell_ow.jpeg" class="img-fluid"></p>
 </section>
-<section id="biography-6" class="level3">
-<h3 class="anchored" data-anchor-id="biography-6">Biography</h3>
+<section id="biography-5" class="level3">
+<h3 class="anchored" data-anchor-id="biography-5">Biography</h3>
 <p><a href="https://mitchelloharawild.com/">Mitchell O’Hara-Wild</a> is a PhD candidate at Monash University and a Data Scientist at Nectric in Clayton, Victoria, Australia. Data scientist and developer of statistical software. Mitchell is our first antipodean workshop leader, and our first to do an evening (very early morning in Australia) workshop. He is a Data scientist and rstats package developer of time series tools, and is addicted to using local IoT devices for monitoring and automating home permaculture.</p>
 </section>
 </div><div class="column" style="width:10%;">
@@ -404,8 +404,8 @@ <h3 class="anchored" data-anchor-id="theo-roe-and-colin-gillespie-on-the-web">Th
 <h3 class="anchored" data-anchor-id="rami-krispin">Rami Krispin</h3>
 <p><img src="images/rami.jpeg" class="img-fluid"></p>
 </section>
-<section id="biography-7" class="level3">
-<h3 class="anchored" data-anchor-id="biography-7">Biography</h3>
+<section id="biography-6" class="level3">
+<h3 class="anchored" data-anchor-id="biography-6">Biography</h3>
 <p><a href="https://www.linkedin.com/in/rami-krispin/">Rami Krispin</a> is a Senior Manager for Data Science and Engineering at Apple. He leads the data science and engineering team at Apple Finance - Services and Infra. The team focuses on translating business problems and requirements into data products using advanced statistical and machine learning models to support and help Apple leadership make data-driven decisions. Rami is also an open-source contributor and the author of <em>Hands-On Time Series Analysis with R</em> (Packt), several R packages for time series analysis, and machine learning applications. Rami is currently working on his next book, <em>Applied Time Series Analysis and Forecasting</em>, which focuses on forecasting at scale.</p>
 </section>
 </div><div class="column" style="width:10%;">