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+
+<p>This document contains information relating to conference speakers that will eventually make its way into the website.</p>
+<section id="keynotes" class="level1">
+<h1>Keynotes</h1>
+<ol type="1">
+<li>Thursday June 13 - Thursday, Jun 13 from 11:13-12:13</li>
+</ol>
+<p>Stephanie Hicks, Statistical Challenges in Single-Cell and Spatial Transcriptomics</p>
+<ol start="2" type="1">
+<li>Friday June 14 - Gundula Bosch, Reproducibility in Medical Research (confirmed)</li>
+</ol>
+<section id="stephanie-hicks" class="level2">
+<h2 class="anchored" data-anchor-id="stephanie-hicks">Stephanie Hicks</h2>
+<p><a href="https://www.stephaniehicks.com/" class="uri">https://www.stephaniehicks.com/</a></p>
+</section>
+<section id="gundula-bosch" class="level2">
+<h2 class="anchored" data-anchor-id="gundula-bosch">Gundula Bosch</h2>
+<p><img src="images/clipboard-3224424859.png" class="img-fluid"></p>
+<p><a href="https://publichealth.jhu.edu/faculty/2954/gundula-bosch" class="uri">https://publichealth.jhu.edu/faculty/2954/gundula-bosch</a></p>
+<p><a href="https://publichealth.jhu.edu/faculty/2954/gundula-bosch">Gundula Bosch | Johns Hopkins Bloomberg School of Public Health</a></p>
+<p>Gundula Bosch, PhD, MEd ’16, MS, is a scientist and educator leading global education reform through training programs in critical, broad, and interdisciplinary scientific thinking.</p>
+<p><a href="http://publichealth.jhu.edu/">publichealth.jhu.edu</a></p>
+<p>Workshops</p>
+<section id="lucy-dagostino-mcgowan-and-malcolm-barrett" class="level3">
+<h3 class="anchored" data-anchor-id="lucy-dagostino-mcgowan-and-malcolm-barrett">Lucy D’Agostino McGowan and Malcolm Barrett</h3>
+<p>Causal Inference with R Monday June 10th from 11AM-2PM eastern time</p>
+<p>[email protected] [email protected]</p>
+<p>n three hours, we could likely cover something like: * A quick overview of performing a causal analysis * DAGs in R * Propensity scores * Sensitivity analyses</p>
+<p>In the past, we have used the NHANES Epidemiologic Follow-up Study (NHEFS) data as a primary example – does this sound ok for your audience?</p>
+<p>Bio: Lucy D’Agostino McGowan 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. She can be found blogging at livefreeordichotomize.com, on Twitter <span class="citation" data-cites="LucyStats">@LucyStats</span>, and podcasting on the American Journal of Epidemiology partner podcast, Casual Inference.</p>
+<p>Lucy D’Agostino McGowan, PhD Assistant Professor Department of Statistical Sciences Wake Forest University ✉️ [email protected] 🌐 lucymcgowan.com</p>
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diff --git a/Staging_Area/Speaker_stuff.qmd b/Staging_Area/Speaker_stuff.qmd
@@ -0,0 +1,56 @@
+This document contains information relating to conference speakers that will eventually make its way into the website.
+
+# Keynotes
+
+1.  Thursday June 13 - Thursday, Jun 13 from 11:13-12:13
+
+Stephanie Hicks, Statistical Challenges in Single-Cell and Spatial Transcriptomics
+
+2.  Friday June 14 - Gundula Bosch, Reproducibility in Medical Research (confirmed)
+
+## Stephanie Hicks
+
+<https://www.stephaniehicks.com/>
+
+## Gundula Bosch
+
+![](images/clipboard-3224424859.png)
+
+<https://publichealth.jhu.edu/faculty/2954/gundula-bosch>
+
+[Gundula Bosch \| Johns Hopkins Bloomberg School of Public Health](https://publichealth.jhu.edu/faculty/2954/gundula-bosch)
+
+Gundula Bosch, PhD, MEd '16, MS, is a scientist and educator leading global education reform through training programs in critical, broad, and interdisciplinary scientific thinking.
+
+[publichealth.jhu.edu](http://publichealth.jhu.edu/)
+
+ Workshops
+
+
+### Lucy D'Agostino McGowan and Malcolm Barrett
+
+Causal Inference with R 
+Monday June 10th 
+from 11AM-2PM eastern time
+
+[email protected]
+[email protected]
+
+n three hours, we could likely cover something like:
+* A quick overview of performing a causal analysis
+* DAGs in R
+* Propensity scores
+* Sensitivity analyses
+
+In the past, we have used the NHANES Epidemiologic Follow-up Study (NHEFS) data as a primary example -- does this sound ok for your audience?
+
+
+Bio:
+Lucy D’Agostino McGowan 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. She can be found blogging at livefreeordichotomize.com, on Twitter @LucyStats, and podcasting on the American Journal of Epidemiology partner podcast, Casual Inference.
+
+Lucy D'Agostino McGowan, PhD
+Assistant Professor
+Department of Statistical Sciences
+Wake Forest University
+✉️ [email protected]
+🌐 lucymcgowan.com