diff --git a/src/seminar/index.md b/src/seminar/index.md
index 9a581ce8..01acd4fd 100644
--- a/src/seminar/index.md
+++ b/src/seminar/index.md
@@ -21,7 +21,7 @@ schedule:
   - when:  Mar. 14
     what:  __Spring Break__
   - when:  Mar. 21
-    who:   Wolfgang Gatterbaur (CMU)
+    who:   Wolfgang Gatterbauer (CMU)
     what:  Approximate lifted inference with probabilistic databases
     abstract: |
       Probabilistic inference over large data sets is becoming a central data management problem. Recent large knowledge bases, such as Yago, Nell or DeepDive have millions to billions of uncertain tuples. Yet probabilistic inference is known to be #P-hard in the size of the database, even for some very simple queries. This talk shows a new approach that allows ranking answers to hard probabilistic queries in guaranteed polynomial time, and by using only basic operators of existing database management systems (e.g., no sampling required).
@@ -58,6 +58,8 @@ extraCSS:
 
 # {{title}}
 
+The UBDB seminar meets on Mondays at 10:30 AM, typically in Davis 113A.  Subscribe to cse-database-list for more details.  
+
 <div class="seminar">
 {{#each schedule}}