diff --git a/Makefile b/Makefile
new file mode 100644
index 0000000..2a9af73
--- /dev/null
+++ b/Makefile
@@ -0,0 +1,5 @@
+all:
+	jekyll clean
+	jekyll build
+	cd _site && tar -czvf site.tar.gz *
+	mv _site/site.tar.gz .
diff --git a/css/style_overrides.css b/css/style_overrides.css
index cde918e..a4723fc 100644
--- a/css/style_overrides.css
+++ b/css/style_overrides.css
@@ -82,7 +82,7 @@ body {
 }
 
 .pubtitle {
-    font-size: 1.075em;
+    font-size: 1.05em;
     color: black;
     font-weight: bold;
 }
diff --git a/index.html b/index.html
index 3edcee2..4c8df45 100644
--- a/index.html
+++ b/index.html
@@ -45,7 +45,7 @@ <h3>About Me</h3>
 
 	<p> Welcome to my corner of the internet! I am a 4th year PhD student at the <a href="https://www.upenn.edu">University of Pennsylvania</a>
 	advised by Prof. <a href="https://www.cis.upenn.edu/~mhnaik/">Mayur Naik</a>.
-	My research interests span Machine Learning, Software Engineering and Programming Languages.
+	My research interests span Programming Languages and Machine Learning.
 	Specifically, my research leverages techniques from program synthesis and analysis to build tools and frameworks to enable machine learning practitioners
 	effectively understand where their models fail, and ways to fix them.
 	My other research interests include developing program synthesis techniques to streamline software analysis, bug finding, and code generation.</p>
@@ -80,8 +80,8 @@ <h3>Research</h3>
 		<p>
 			My research aims to bridge this gap by developing novel techniques and tools to allow the systemic analysis
 			and debugging of machine learning models.
-			To this end, my framework, SQRL (pronounced <span style="font-style: italic;">squirrel</span>) uses data-
-			driven program synthesis techniques to characterize the errors in machine learning models in terms of
+			To this end, my framework, SQRL (pronounced <span style="font-style: italic;">squirrel</span>) uses data-driven
+            program synthesis techniques to characterize the errors in machine learning models in terms of
 			grounded concepts and relations intuitive to practitioners.
 			You can read more about SQRL in our blog post <a href="https://debugml.github.io/SQRL/" target="_blank">here</a>.
 		</p>
@@ -112,25 +112,25 @@ <h3>Publications</h3>
 	
 <div class="row">
 	<div class="col-md-12 pubdiv" >
-		<h4>Recent Manuscripts</h4>
+		<h5 style="font-weight: bold;">Recent Manuscripts</h5>
 	</div>
 
-	<div class="col-md-12 pubdiv">
+	<!-- <div class="col-md-12 pubdiv">
 		<span class="pubtitle">MDB: Interactively Querying Datasets and Models</span>
 		<div class="pubauths">
-			<span style="font-weight: bolder">Aaditya Naik</span>, Adam Stein, Yinjun Wu, Eric Wong, Mayur Naik
+			<span style="font-weight: bold">Aaditya Naik</span>, Adam Stein, Yinjun Wu, Eric Wong, Mayur Naik
 		</div>
 		<div class="publinks">
-			Submitted to NeurIPS 2023.
+			Submitted to <span style="font-weight: bold;">NeurIPS 2023</span>.
 			[
 				<a href="https://arxiv.org/abs/2308.06686" target="_blank">Paper</a>
 			]
 		</div>
-	</div>
+	</div> -->
 	<div class="col-md-12 pubdiv">
 		<span class="pubtitle">Interactive Code Generation via Test-Driven User-Intent Formalization</span>
 		<div class="pubauths">
-			Shuvendu K. Lahiri*, <span style="font-weight: bolder">Aaditya Naik*</span>, Georgios Sakkas*, Piali Choudhury, Curtis von Veh, Madanlal Musuvathi, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao
+			Shuvendu K. Lahiri*, <span style="font-weight: bold">Aaditya Naik*</span>, Georgios Sakkas*, Piali Choudhury, Curtis von Veh, Madanlal Musuvathi, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao
 		</div>
 		<div class="publinks">
 			Arxiv Preprint.
@@ -146,12 +146,12 @@ <h4>Recent Manuscripts</h4>
 <br>
 <div class="row">
 	<div class="col-md-12 pubdiv" >
-		<h4>Conference Papers</h4>
+		<h5 style="font-weight: bold;">Conference Papers</h5>
 	</div>
 	<div class="col-md-12 pubdiv">
 		<span class="pubtitle">Relational Query Synthesis ⨝ Decision Tree Learning</span>
 		<div class="pubauths">
-			<span style="font-weight: bolder">Aaditya Naik</span>, Aalok Thakkar, Adam Stein, Mayur Naik, Rajeev Alur
+			<span style="font-weight: bold">Aaditya Naik</span>, Aalok Thakkar, Adam Stein, Mayur Naik, Rajeev Alur
 		</div>
 		<div class="publinks">
 			Proceedings of <span style="font-weight: bold;">VLDB 2024</span>.
@@ -165,7 +165,7 @@ <h4>Conference Papers</h4>
 <div class="col-md-12 pubdiv">
 	<span class="pubtitle">Do Machine Learning Models Learn Statistical Rules Inferred from Data?</span>
 	<div class="pubauths">
-		<span style="font-weight: bolder">Aaditya Naik</span>, Yinjun Wu, Mayur Naik, Eric Wong
+		<span style="font-weight: bold">Aaditya Naik</span>, Yinjun Wu, Mayur Naik, Eric Wong
 	</div>
 	<div class="publinks">
 		Proceedings of <span style="font-weight: bold;">ICML 2023</span>.
@@ -179,7 +179,7 @@ <h4>Conference Papers</h4>
 <div class="col-md-12 pubdiv">
 		<span class="pubtitle">CodeTrek: Flexible Modeling of Code using an Extensible Relational Representation.</span>
 		<div class="pubauths">
-			Pardis Pashakhanloo, <span style="font-weight: bolder">Aaditya Naik</span>, Yuepeng Wang, Hanjun Dai, Petros Maniatis, Mayur Naik
+			Pardis Pashakhanloo, <span style="font-weight: bold">Aaditya Naik</span>, Yuepeng Wang, Hanjun Dai, Petros Maniatis, Mayur Naik
 		</div>
 		<div class="publinks">
 			Proceedings of <span style="font-weight: bold;">ICLR 2022</span>.
@@ -199,7 +199,7 @@ <h4>Conference Papers</h4>
 <div class="col-md-12 pubdiv">
 		<span class="pubtitle">Sporq: An Interactive Environment for Exploring Code Using Query-by-Example.</span>
 		<div class="pubauths">
-			<span style="font-weight: bolder">Aaditya Naik</span>, Jonathan Mendelson, Nathaniel Sands, Yuepeng Wang, Mayur Naik, Mukund Raghothaman
+			<span style="font-weight: bold">Aaditya Naik</span>, Jonathan Mendelson, Nathaniel Sands, Yuepeng Wang, Mayur Naik, Mukund Raghothaman
 		</div>
 		<div class="publinks">
 			Proceedings of <span style="font-weight: bold;">UIST 2021</span>.
@@ -215,7 +215,7 @@ <h4>Conference Papers</h4>
 <div class="col-md-12 pubdiv">
 		<span class="pubtitle">Example-Guided Synthesis of Relational Queries.</span>
 		<div class="pubauths">
-			Aalok Thakkar, <span style="font-weight: bolder">Aaditya Naik</span>, Nate Sands, Mukund Raghothaman, Mayur Naik, Rajeev Alur
+			Aalok Thakkar, <span style="font-weight: bold">Aaditya Naik</span>, Nate Sands, Mukund Raghothaman, Mayur Naik, Rajeev Alur
 		</div>
 		<div class="publinks">
 			Proceedings of <span style="font-weight: bold;">PLDI 2021</span>.
@@ -231,7 +231,7 @@ <h4>Conference Papers</h4>
 <div class="col-md-12 pubdiv">
 		<span class="pubtitle">GenSynth: Synthesizing Datalog Programs without Language Bias.</span>
 		<div class="pubauths">
-			Jonathan Mendelson*, <span style="font-weight: bolder">Aaditya Naik*</span>, Mukund Ragothaman, Mayur Naik
+			Jonathan Mendelson*, <span style="font-weight: bold">Aaditya Naik*</span>, Mukund Ragothaman, Mayur Naik
 		</div>
 		<div class="publinks">
 			Proceedings of <span style="font-weight: bold;">AAAI 2021</span>.
@@ -254,7 +254,7 @@ <h4>Conference Papers</h4>
 <div class="col-md-12 pubdiv">
 		<span class="pubtitle">Code2Inv: A Deep Learning Framework for Program Verification.</span>
 		<div class="pubauths">
-			Xujie Si*, <span style="font-weight: bolder">Aaditya Naik*</span>, Hanjun Dai, Mayur Naik, Le Song
+			Xujie Si*, <span style="font-weight: bold">Aaditya Naik*</span>, Hanjun Dai, Mayur Naik, Le Song
 		</div>
 		<div class="publinks">
 			Proceedings of <span style="font-weight: bold;">CAV 2020</span>.
@@ -278,14 +278,14 @@ <h4>Conference Papers</h4>
 <br>
 <div class="row">
 	<div class="col-md-12 pubdiv" >
-		<h4>Workshop Papers</h4>
+		<h5 style="font-weight: bold;">Workshop Papers</h5>
 	</div>
 
 <div class="row">
 	<div class="col-md-12 pubdiv">
 		<span class="pubtitle">Learning to Walk over Relational Graphs of Source Code</span>
 		<div class="pubauths">
-			Pardis Pashakhanloo, <span style="font-weight: bolder">Aaditya Naik</span>, Hanjun Dai, Petros Maniatis, Mayur Naik
+			Pardis Pashakhanloo, <span style="font-weight: bold">Aaditya Naik</span>, Hanjun Dai, Petros Maniatis, Mayur Naik
 		</div>
 		<div class="publinks">
 			Deep Learning for Code (<a href="https://dl4c.github.io/" target="_blank">DL4C</a>) Workshop @ <a href="https://iclr.cc/" target="_blank" style="font-weight: bold;">ICLR 2022</a>