First off, it seems to me noboody is actually answering your question, which was:
What would the query or queries look like to produce such a structure?
with a requested structure of
Topic, LastModified, # Replies.
The SQL to produce a result table with that structure, given the table structures you provided, would be:
SELECT t.Id, t.Name AS Topic,
MAX(r.Date) AS LastModified,
COUNT(*) AS NumReplies
FROM Forum_Topic t
LEFT OUTER JOIN Forum_Reply r ON t.id = r.topic_id
GROUP BY t.Id, t.Name
(sorry, this is tested only on SQL Server, as I don't have access to MySql at the moment)
Also, your structure IS already normalized. Suggestions to the contrary are making assumptions about what you want to do, e.g., assuming that you are interested in tracking user names in addition to email addresses. This is quite reasonable, but is nevertheless an assumption. There is nothing wrong, from a normalization perspective, with using email address as a unique user identifier.
Now, if you are looking for general suggestions on how to set up a database, we can give you LOTS of those. Before normalization, I would start with not using potential keywords as object names (e.g., don't give columns names like 'Name' and 'Date').
Regarding the comment from Matt about the value being NULL when there are no replies: using the COALESCE() function will fix that. COALESCE() returns the first non-NULL argument (or NULL if all arguments are NULL). So replace the MAX(r.Date) with MAX(COALESCE(r.Date, t.Date)).