Update index.md

Author: kastnerp

docs/index.md

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 ![SustainLab Logo](images/sustainlab-smur-logo-wordmark-color-white.svg#dark-only){ align=left, width="500", .off-glb}
 ![SustainLab Logo](images/sustainlab-smur-logo-wordmark-color-black.svg#light-only){ align=left, width="500", .off-glb}
 
-Welcome to the project page of the [VIP][VIP] team [Surrogate Modeling for Urban Regeneration](https://vip-smur.github.io/) (SMUR) at Georgia Tech. This course is led by Dr. Patrick Kastner, head of the [Sustainable Urban Systems Lab](https://sustain.arch.gatech.edu).
+Welcome to the project page of the [VIP][VIP] team [Surrogate Modeling for Urban Regeneration](https://vip-smur.github.io/) (SMUR) at Georgia Tech. 
+This course is led by Dr. Patrick Kastner, head of the [Sustainable Urban Systems Lab](https://sustain.arch.gatech.edu).
 
 ## 📝 The Problem
 
-Many performance-related decisions in architectural and urban design happen too late in the decision-making process to ensure they suit the clients' purposes. We believe this hinders true [urban regeneration][urban regeneration]. This research course challenges this status quo by developing software tools that empower communities and urban decision-makers.
+Many performance-related decisions in architectural and urban design happen too late in the decision-making process to ensure they suit the clients' purposes. 
+We believe this hinders true [urban regeneration][urban regeneration]. 
+This research course challenges this status quo by developing software tools that empower communities and urban decision-makers.
 
 {% include 'macleamy.md' %} 
 
-Our models will enable urban decision-making by enabling real-time testing of interventions. By involving a multitude of urban [stakeholders][stakeholders], we make regenerative cities tangible, actionable, and inclusive. Our work will address:
+Our models will enable urban decision-making by enabling real-time testing of interventions. 
+By involving a multitude of urban [stakeholders][stakeholders], we make regenerative cities tangible, actionable, and inclusive. 
+Our work will address:
 
 - Air quality, pollution, natural ventilation potential
 - Microclimate assessment (outdoor thermal comfort, urban heat islands)
@@ -34,13 +39,16 @@ Our models will enable urban decision-making by enabling real-time testing of in
 
 ## 🎯 Goals
 
-Conventional environmental simulation approaches in urban design are time-consuming and often incompatible with fast-paced decision-making processes. This VIP aims to address this outdated paradigm by developing [surrogate models][surrogate models] that accelerate simulations (typically via machine learning) that offer real-time feedback to urban decision-makers, such as architects, urban designers, and policymakers.
+Conventional environmental simulation approaches in urban design are time-consuming and often incompatible with fast-paced decision-making processes. 
+This VIP aims to address this outdated paradigm by developing [surrogate models][surrogate models] that accelerate simulations (typically via machine learning) that offer real-time feedback to urban decision-makers, such as architects, urban designers, and policymakers.
 
-Our goal is to seamlessly integrate sustainability considerations into every step of urban decision-making processes by integrating our models with industry-leading CAD tools such as `Rhino` and `Revit`, `QGIS`, `ArcGIS`, and making them useable even in the browser.
+Our goal is to seamlessly integrate sustainability considerations into every step of urban decision-making processes by integrating our models with industry-leading CAD tools such as `Rhino` and `Revit`, `QGIS`, `ArcGIS`, and making them usable even in the browser.
 
 ## ✅ Prerequisites
 
-We seek an interdisciplinary team of highly motivated students. Experience with `Python`, `C#`, `Javascript`, `machine learning`, and `simulation modeling` will be advantageous. Our sub-teams typically are interdisciplinary and consist of students from:
+We seek an interdisciplinary team of highly motivated students. 
+Experience with `Python`, `C#`, `JavaScript`, `machine learning`, and `simulation modeling` will be advantageous. 
+Our sub-teams typically are interdisciplinary and consist of students from:
 
 - Computer Science / Engineering (Civil, Environmental, Mechanical, etc.)
 - (Applied) Industrial and Systems Engineering
@@ -49,7 +57,8 @@ We seek an interdisciplinary team of highly motivated students. Experience with
 - Public Policy
 - Etc.
 
-If your major is not mentioned, please [contact us](mailto:[email protected]) to see if your background might be a good fit. We're happy to help!
+If your major is not mentioned, please [contact us](mailto:[email protected]) to see if your background might be a good fit. 
+We're happy to help!
 
 ## 📊 Project Overview