diff --git a/content/presentations.md b/content/presentations.md
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----
-title: Presentations
-description: This is a page of presentations I was a part of.
----
-
-## CryptoSolve: Towards a Tool for the Symbolic Analysis of Cryptographic Algorithms
-
-On April 3rd 2022, I presented a paper at the 14th International Workshop on Rewriting Logic and its Applications (WRLA 2022). This presentation features
-[CryptoSolve](https://symcollab.github.io/CryptoSolve/) a tool that generates and verifies Cryptographic Modes of Operations.
-
-[Slides PDF](/files/slides/wrla2022-slides.pdf)
-
-## Expedited Learning via Interactive Demonstrations
-
-On December 4, 2019, I gave a defense on my honors research in the incorporation of demonstration data throughout a reinforcement learning algorithm. I have shown that this technique expedites the learning process.
-
-[Slides PPTX](/files/research/ExpeditedLearningInteractiveDemo.pptx)
-
-## Building a Linux Cluster
-
-In June 2019, Stefano Coronado and I were volunteered to give a talk at the Fredericksburg Linux Users group on our experiences building a Beowulf cluster for our University. 
-
-[Slides PDF](/files/slides/buildingalinuxcluster.pdf)
-
-## Embezzlement of Parking Meter Funds: A Computational Approach to Hypothesis Testing
-
-I was invited to give a talk to the Data Science Group at the University of Mary Washington called the Data Mavens. It was a 25 minute presentation on the bootstrap resampling technique with code on how to get started.
-
-[Slides PDF](/files/slides/embezzlement.pdf)
-
-## Similyrics: A Music Recommendation Engine Based on Lyrics
-At the VCU RamHacks hackathon, Clare Arrington, Harrison Crosse, and I demoed our product Similyrics. It's a web application that takes your favorite song, grabs the lyrics, and finds a song from a database that closely matches to the song you have chosen lyric wise.
-
-[Slides PDF](/files/slides/similyrics.pdf)
-
-
diff --git a/content/presentations/_index.md b/content/presentations/_index.md
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+---
+title: Presentations
+type: "feed"
+description: This is a page of presentations I was a part of.
+---
diff --git a/content/presentations/data-mavens-resampling.md b/content/presentations/data-mavens-resampling.md
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+---
+title: "Embezzlement of Parking Meter Funds: A Computational Approach to Hypothesis Testing"
+date: 2018-03-29T12:00:00-04:00
+draft: false
+---
+
+I was invited to give a talk to the Data Science Group at the University of Mary Washington called the Data Mavens. It was a 25 minute presentation on the bootstrap resampling technique with code on how to get started.
+
+[Slides PDF](/files/slides/embezzlement.pdf)
+
+{{< pdfembed "/files/slides/embezzlement.pdf" >}}
diff --git a/content/presentations/fred-lug-linux-cluster.md b/content/presentations/fred-lug-linux-cluster.md
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+---
+title: Building a Linux Cluster
+date: 2019-06-22T09:00:00-04:00
+draft: false
+---
+
+In June 2019, Stefano Coronado and I were volunteered to give a talk at the Fredericksburg Linux Users group on our experiences building a Beowulf cluster for our University. 
+
+[Slides PDF](/files/slides/buildingalinuxcluster.pdf)
+
+{{< pdfembed "/files/slides/buildingalinuxcluster.pdf" >}}
diff --git a/content/presentations/similyrics.md b/content/presentations/similyrics.md
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+---
+title: "Similyrics: A Music Recommendation Engine Based on Lyrics"
+date: 2018-09-23T12:00:00-04:00
+draft: false
+---
+At the VCU RamHacks hackathon, Clare Arrington, Harrison Crosse, and I demoed our product Similyrics. It's a web application that takes your favorite song, grabs the lyrics, and finds a song from a database that closely matches to the song you have chosen lyric wise.
+
+[Slides PDF](/files/slides/similyrics.pdf)
+
+{{< pdfembed "/files/slides/similyrics.pdf" >}}
diff --git a/content/presentations/umw-honors-rl.md b/content/presentations/umw-honors-rl.md
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+---
+title: Expedited Learning via Interactive Demonstrations
+date: 2019-12-04T16:00:00-04:00
+draft: false
+---
+
+On December 4, 2019, I gave a defense on my honors research in the incorporation of demonstration data throughout a reinforcement learning algorithm. I have shown that this technique expedites the learning process.
+
+[Slides PPTX](/files/research/ExpeditedLearningInteractiveDemo.pptx)
diff --git a/content/presentations/wrla2022-cryptosolve.md b/content/presentations/wrla2022-cryptosolve.md
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+---
+title: "CryptoSolve: Towards a Tool for the Symbolic Analysis of Cryptographic Algorithms"
+date: 2022-04-03T09:30:00-04:00
+draft: false
+---
+
+On April 3rd 2022, I presented a paper at the 14th International Workshop on Rewriting Logic and its Applications (WRLA 2022). This presentation features
+[CryptoSolve](https://symcollab.github.io/CryptoSolve/) a tool that generates and verifies Cryptographic Modes of Operations.
+
+[Slides PDF](/files/slides/wrla2022-slides.pdf)
+
+{{< pdfembed "/files/slides/wrla2022-slides.pdf" >}}
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