diff --git a/src/static/css/App.css b/src/static/css/App.css
index 758ddf4..763263f 100644
--- a/src/static/css/App.css
+++ b/src/static/css/App.css
@@ -83,10 +83,6 @@ h1 {
   color: #ecebeb;
 }
 
-h2 {
-  font-size:  medium;
-}
-
 h2, h3, h4, h5 {
   color: #a8a8a8;
 }
@@ -319,6 +315,10 @@ a {
   text-shadow: .1em .1em rgba(255, 255, 255, 0.2);
 }
 
+#nametag h2{
+  font-size: medium;
+}
+
 #nametag p {
   text-shadow: none;
   color: #a8a8a8;
diff --git a/src/templates/about.html b/src/templates/about.html
index 88471a6..f70b88d 100644
--- a/src/templates/about.html
+++ b/src/templates/about.html
@@ -12,19 +12,17 @@
         minor), pursuing a career in data science.
         <br />
         <br />
+        My philosophy is that if it isn't explainable then you didn't learn anything.  
         Data without sound methodology is at best meaningless and at worst
-        counterproductive and costly.
-        <br />
-        My mission is to bring logical transparency and literal deductions back
-        into digital analysis so we can learn about the world through computing,
-        rather than letting computers make decisions for the world we think we
-        know.
-        <br />
-        <br />
+        counterproductive and costly.  
+        Bringing logical transparency and literal deductions back
+        into digital analysis enables us to learn about the world through computing,
+        rather than letting computers make decisions for the world we think we know.  
         We as data scientists shouldn't just be building heuristics. We should
         be making discoveries and building new knowledge.
         <br />
-        Bring the scientific method to AI.
+        <br />
+        <strong>Bring the scientific method to AI.</strong>
       </p>
     </div>
     <div data-aos="fade-up">