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<!DOCTYPE html>
<html lang="en">
<head>
<title>Portfolio</title>
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="icon" href="img/Hayden_Cornwell_Image.jpg" type="image/x-icon">
<link rel="stylesheet" href="css/main.bundle.css">
<script src="https://kit.fontawesome.com/4e5a72c756.js"></script>
</head>
<body>
<nav class="navbar is-primary" role="navigation" aria-label="main navigation">
<div class="navbar-brand">
<div class="navbar-item is-hidden-desktop">
<a href="https://github.com/hkcornwell" class="icon is-large has-text-light">
<i class="fab fa-2x fa-github"></i>
</a>
</div>
</div>
<div class="navbar-menu">
<div class="navbar-end">
<div class="navbar-item">
<a href="https://github.com/hkcornwell" class="icon is-large has-text-light">
<i class="fab fa-2x fa-github"></i>
</a>
</div>
</div>
</div>
</nav>
<section class="hero is-primary">
<div class="hero-body">
<div class="container">
<div class="level">
<div class="level-item has-text-centered">
<figure class="image is-128x128">
<img class="is-rounded" src="img/Hayden_Cornwell_Image.jpg">
</figure>
</div>
</div>
<div class="columns has-text-centered">
<div class="column">
<h1 class="title is-1">
Hayden Cornwell
</h1>
<h2 class="subtitle">
Product Management | Data Analytics | Engineering Consultant
</h2>
<p>
<a href="docs/Hayden_Cornwell_CV.pdf" class="icon has-text-light">
<i class="fas fa-file-word"></i> <strong>CV</strong>
</a>
</p>
</div>
</div>
</div>
</div>
</section>
<section class="section">
<div class="container">
<h1 class="title">About Me</h1>
<hr />
<p>Through education, research, and work experience I have been exposed to engineering and product challenges in industries spanning industrial (
aerospace, automotive, materials, additive manufacturing, biomedical, semiconductor) and tech (leagal technology and financial technology). My interest
in technology commercialization has led me to multiple early stage companies as a product manager. I hope to contribute to innovatation accross a wide range of industries
with recent experience and education in maching learning and data science. <br><br>
Outside of work I like to golf, play pick-up basketball, brew beer, and work on side projects.</p>
</div>
</section>
<section class="section">
<div class="container">
<h1 class="title">Projects</h1>
<hr />
<div class = "tile is-ancestor">
<div class="tile is-parent">
<article class="tile is-child box">
<p class="title">Graph Convolution Network for FEA</p>
<figure class="image is-2by1">
<img class="modal-trigger" data-target="project-7-modal" src="img/Airbus_A320_k.jpg">
</figure>
</article>
</div>
</div>
<div class = "tile is-ancestor">
<div class="tile is-parent">
<article class="tile is-child box">
<p class="title">Academic Journal Trends</p>
<figure class="image is-3by3">
<img class="modal-trigger" data-target="project-6-modal" src="img/lightbuld.jpg">
</figure>
</article>
<article class="tile is-child box">
<p class="title">sEMG Signal Classification</p>
<figure class="image is-3by3">
<img class="modal-trigger" data-target="project-5-modal" src="img/grasp.png">
</figure>
</article>
</div>
</div>
<div class="tile is-ancestor">
<div class="tile is-parent is-vetical">
<article class="tile is-child box">
<p class="title">CO2 Shipping Optimization</p>
<figure class="image is-3by3">
<img class="modal-trigger" data-target="project-1-modal" src="img/CO2_Shipping.PNG">
</figure>
</article>
<article class="tile is-child box">
<p class="title">D3 Visualizations</p>
<figure class="image is-3by3">
<img class="modal-trigger" data-target="project-2-modal" src="img/D3_cover.png">
</figure>
</article>
</div>
</div>
<div class = "tile is-ancestor">
<div class="tile is-parent">
<article class="tile is-child box">
<p class="title">FEA Convergence Diagnostic</p>
<figure class="image is-3by3">
<img class="modal-trigger" data-target="project-3-modal" src="img/FEA_Example.PNG">
</figure>
</article>
<article class="tile is-child box">
<p class="title">Red Bull Flugtag</p>
<figure class="image is-5by4">
<img class="modal-trigger" data-target="project-4-modal" src="img/monkey.png">
</figure>
</article>
</div>
</div>
</div>
</section>
<section class="section">
<div class="container">
<h1 class="title">Experience</h1>
<hr />
<div class="card">
<div class="card-content">
<div class="media">
<div class="media-left">
<figure class="image is-48x48">
<img src="img/litlingo.png" alt="Placeholder image">
</figure>
</div>
<div class="media-content">
<p class="title is-4">LitLingo Technologies</p>
<p class="subtitle is-6">Director of Product - <time datetime="2021-09">September 2021</time> - <time
datetime="2022-7">Present</time> </p>
</div>
</div>
<div class="content">
<p>Led product team building AI powered compliance software platform <a href=http://www.litlingo.com>LitLingo</a></p>
<ul>
<li>Led web platform redesign to optimize for communication analytics and review processes</li>
<li>Increased user efficiency by 90% and Expanded "prevention" coverage by 50% (key ROI factors)</li>
<li>Managed customer feedback sessions with a 550% increase in ARR </li>
</ul>
<div class="tags">
<span class="tag">NLP</span>
<span class="tag">Amplitude</span>
<span class="tag">Figma</span>
</div>
</div>
</div>
</div>
<div class="card card-gap">
<div class="card-content">
<div class="media">
<div class="media-left">
<figure class="image is-48x48">
<img src="img/HKC.png" alt="Placeholder image">
</figure>
</div>
<div class="media-content">
<p class="title is-4">HKC Solutions</p>
<p class="subtitle is-6">Founder - <time datetime="2021-09">November 2020</time> - <time
datetime="2022-7">Present</time> </p>
</div>
</div>
<div class="content">
<p>Founded engineering consulting company focused on advanced FEA analysis</p>
<ul>
<li>Performed static and dynamic structural analysis on complex load cases</li>
<li>Advised FEA projects for companies without dedicated analysis engineers</li>
</ul>
<div class="tags">
<span class="tag">NLP</span>
<span class="tag">Amplitude</span>
<span class="tag">Figma</span>
</div>
</div>
</div>
</div>
<div class="card card-gap">
<div class="card-content">
<div class="media">
<div class="media-left">
<figure class="image is-48x48">
<img src="img/Siemens.jpg" alt="Placeholder image">
</figure>
</div>
<div class="media-content">
<p class="title is-4">Siemens Digital Industries Software</p>
<p class="subtitle is-6">Technical Product Manager - <time datetime="2019-11">November 2019</time> - <time
datetime="2021-9">September 2021</time> </p>
</div>
</div>
<div class="content">
<p>Technical Product Manager of Simcenter 3D Materials Engineering in the simultation and testing group</p>
<ul>
<li>Develop go-to-market strategies for new applications of materials engineering software</li>
<li>Support technical sales and internal engineering benchmarks</li>
<li>Create industrial workflows and minimum viable product prototypes for targeted campaigns</li>
</ul>
<div class="tags">
<span class="tag">Jira</span>
<span class="tag">Simcenter 3D</span>
<span class="tag">HEEDS</span>
<span class="tag">Star CCM+</span>
<span class="tag">Multiphysics Simulation</span>
</div>
</div>
</div>
</div>
<div class="card card-gap">
<div class="card-content">
<div class="media">
<div class="media-left">
<figure class="image is-48x48">
<img src="img/Multimech.png" alt="Placeholder image">
</figure>
</div>
<div class="media-content">
<p class="title is-4">MultiMechanics</p>
<p class="subtitle is-6">Solutions Engineer - <time datetime="2017-10">October 2017</time> - <time
datetime="2019-11">November 2019</time></p>
</div>
</div>
<div class="content">
<p>Grow current customers account and performed micromechanic specific benchmarks for prospects</p>
<ul>
<li>Over 15 customer benchmarks</li>
<li>8 Webinars</li>
<li>Designed 3 applications to streamline Multiemch workflow</li>
</ul>
<div class="tags">
<span class="tag">Multimech</span>
<span class="tag">Abaqus</span>
<span class="tag">ANSYS</span>
<span class="tag">Micromechanics</span>
<span class="tag">Advanced Materials</span>
</div>
</div>
</div>
</div>
<div class="card card-gap">
<div class="card-content">
<div class="media">
<div class="media-left">
<figure class="image is-48x48">
<img src="img/spacex.jpg" alt="Placeholder image">
</figure>
</div>
<div class="media-content">
<p class="title is-4">Space Exploration Technologies</p>
<p class="subtitle is-6">Engineering Associate - <time datetime="2017-6">June 2017</time> - <time
datetime="2019-11">September 2017</time></p>
</div>
</div>
<div class="content">
<p>Designed manufacturing tools within the composite tooling group</p>
<ul>
</ul>
<div class="tags">
<span class="tag">NX</span>
<span class="tag">GD&T</span>
<span class="tag">Composite Manufacturing</span>
</div>
</div>
</div>
</div>
<div class="card card-gap">
<div class="card-content">
<div class="media">
<div class="media-left">
<figure class="image is-48x48">
<img src="img/aero.png" alt="Placeholder image">
</figure>
</div>
<div class="media-content">
<p class="title is-4">Aerospace Corporation</p>
<p class="subtitle is-6">Engineering Associate - <time datetime="2017-6">May 2015</time> - <time
datetime="2019-11">September 2015</time></p>
</div>
</div>
<div class="content">
<p>Composite and steel FEA structural analysis for primary rocket structures</p>
<ul>
</ul>
<div class="tags">
<span class="tag">Abaqus</span>
<span class="tag">NASTRAN</span>
<span class="tag">Composite Analysis</span>
<span class="tag">Buckling Analysis</span>
</div>
</div>
</div>
</div>
</div>
</section>
<section class="section">
<div class="container">
<h1 class="title">Education</h1>
<hr />
<div class="card">
<div class="card card-gap">
<div class="card-content">
<div class="media">
<div class="media-left">
<figure class="image is-48x48">
<img src="img/gt_thumbnail.jpg" alt="Placeholder image">
</figure>
</div>
<div class="media-content">
<div class="content">
<p class="title is-4">Georgia Institute of Technology</p>
<p class="subtitle is-6">Masters of Science in Analytics - <time datetime="2019-9">September 2019</time> - <time
datetime="2020-5">Present</time></p>
</div>
<div class="content">
GPA: 3.8/4.0
</div>
</div>
</div>
</div>
</div>
<div class="card">
<div class="card card-gap">
<div class="card-content">
<div class="media">
<div class="media-left">
<figure class="image is-48x48">
<img src="img/MITlogo.jpg" alt="Placeholder image">
</figure>
</div>
<div class="media-content">
<div class="content">
<p class="title is-4">Massachusetts Institute of Technology</p>
<p class="subtitle is-6">Master of Science in Aerospace Engineering - <time datetime="2015-9">September 2015</time> - <time
datetime="2017-6">June 2017</time></p>
</div>
<div class="content">
GPA: 4.6/5.0
</div>
</div>
</div>
</div>
</div>
<div class="card">
<div class="card card-gap">
<div class="card-content">
<div class="media">
<div class="media-left">
<figure class="image is-48x48">
<img src="img/MITlogo.jpg" alt="Placeholder image">
</figure>
</div>
<div class="media-content">
<div class="content">
<p class="title is-4">Massachusetts Institute of Technology</p>
<p class="subtitle is-6">Bachelor of Science in Aerospace Engineering - <time datetime="2011-9">September 2011</time> - <time
datetime="2015-6">June 2015</time></p>
</div>
<div class="content">
GPA: 4.6/5.0
</div>
</div>
</div>
</div>
</div>
</section>
<section class="section">
<div class="container">
<h1 class="title">Contact</h1>
<hr />
<nav class="level">
<div class="level-item has-text-centered">
<div>
<a href="https://github.com/hkcornwell" class="icon is-large">
<i class="fab fa-2x fa-github"></i>
</a>
<p class="heading"><a href="https://github.com/hkcornwell">github.com/hkcornwell</a></p>
</div>
</div>
<div class="level-item has-text-centered">
<div>
<a href="https://www.linkedin.com/in/haydencornwell" class="icon is-large">
<i class="fab fa-2x fa-linkedin-in"></i>
</a>
<p class="heading"><a href="https://www.linkedin.com/in/haydencornwell">linkedin</a></p>
</div>
</div>
</nav>
</div>
</section>
<!-- Modals -->
<div id="project-1-modal" class="modal">
<div class="modal-background"></div>
<div class="modal-card">
<header class="modal-card-head">
<p class="modal-card-title">CO2 Shipping Optimization</p>
<button class="delete" aria-label="close"></button>
</header>
<section class="modal-card-body">
<div id="project-1-modal-carousel" class="carousel1">
<figure class="image is-4by3 carousel-cell">
<img src="img/carousel1/1.png">
</figure>
<figure class="image is-4by3 carousel-cell">
<img src="img/carousel1/2.png">
</figure>
<figure class="image is-4by3 carousel-cell">
<img src="img/carousel1/3.png">
</figure>
<figure class="image is-4by3 carousel-cell">
<img src="img/carousel1/4.png">
</figure>
</div>
<div class="content">
<p>This project demonstrates how we can reduce CO2 emissions from maritime freight traffic by leveraging a hub-and-spoke model
to aggregate vessel cargo. An array of shipping network models were created via a clustering algorithm varying the clustering
hyperparameter. The analysis demonstrated an optimal shipping network is possible and could theoretically reduce CO2 output by
38%. <br><a href="https://team-nyc.herokuapp.com/">Dashboard</a>  | <a href="https://www.youtube.com/watch?v=8wcOvY0vawQ">Video Walkthrough</a>
 | <a href="docs/CO2_Shipping_Optimization.pdf">Full Report</a>  | <a href="https://github.com/hkcornwell/CO2_Shipping_Optimization">Repository</a>
<br><br></p>
<div class="tags">
<span class="tag">Python</span>
<span class="tag">PostreSQL</span>
<span class="tag">Pandas</span>
<span class="tag">Dash</span>
</div>
</div>
</section>
<footer class="modal-card-foot">
<button class="button is-success">Close</button>
</footer>
</div>
</div>
<div id="project-2-modal" class="modal">
<div class="modal-background"></div>
<div class="modal-card">
<header class="modal-card-head">
<p class="modal-card-title">D3 Visualizatations</p>
<button class="delete" aria-label="close"></button>
</header>
<section class="modal-card-body">
<div id="project-2-modal-carousel" class="carousel2">
<figure class="image is-4by3 carousel-cell">
<img src="img/carousel2/1.png">
</figure>
<figure class="image is-4by3 carousel-cell">
<img src="img/carousel2/2.png">
</figure>
<figure class="image is-4by2 carousel-cell">
<img src="img/carousel2/3.png">
</figure>
</div>
<div class="content">
<p>These visualiations demonstrate the flexibility of D3 for creating static and interactive visualizations. <br>
<a href="https://github.com/hkcornwell/Data-Visualization-Results">Repository</a><br><br></p>
<div class="tags">
<span class="tag">D3</span>
<span class="tag">javascript</span>
</div>
</div>
</section>
<footer class="modal-card-foot">
<button class="button is-success">Close</button>
</footer>
</div>
</div>
<div id="project-3-modal" class="modal">
<div class="modal-background"></div>
<div class="modal-card">
<header class="modal-card-head">
<p class="modal-card-title">FEA Convergence Diagnostic</p>
<button class="delete" aria-label="close"></button>
</header>
<section class="modal-card-body">
<div id="project-3-modal-carousel" class="carousel3">
<figure class="image is-3by3 carousel-cell">
<img src="img/carousel3/1.png">
</figure>
<figure class="image is-3by3 carousel-cell">
<img src="img/carousel3/2.png">
</figure>
<figure class="image is-3by3 carousel-cell">
<img src="img/carousel3/3.png">
</figure>
<figure class="image is-3by3 carousel-cell">
<img src="img/carousel3/4.png">
</figure>
</div>
<div class="content">
<p>Here is a study meant to diagnose the convergence robustness of a given FEA model. The dataset includes multiple runs of a single
model with different loads and time steps, and results of the solution's convergence. Using Support Vector Machine (SVM), this study demsontrates
that convergence can be predicted before time is spent on a simulation.<br>
<a href="https://github.com/hkcornwell/Convergence-Diagnostic">Repository</a><br><br>
</p>
<div class="tags">
<span class="tag">Python</span>
<span class="tag">Pandas</span>
<span class="tag">SVM</span>
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<p>Part of team of MIT aerospace engineers that participated in Red Bull Flugtag. Designed and built a 30-foot wingspan human
carrying glider.<br>
<a href="https://www.youtube.com/watch?v=qWCvZ_AOBKg">Video</a><br><br>
</p>
<div class="tags">
<span class="tag">AVL</span>
<span class="tag">Solidworks</span>
<span class="tag">Matlab</span>
<span class="tag">Composites</span>
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<p class="modal-card-title">sEMG Signal Classification</p>
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<p>sEMG signal data is used to predict the type of grabbing motion of a subject. This study evaluates many state-of-the-art machine learning algorithms
as well as data processsing and transformation techniques. An maximum accuracy of around 75% was achieved, which is high considering the number of
classification possibilites.<br>
<a href="https://archive.ics.uci.edu/ml/datasets/sEMG%20for%20Basic%20Hand%20movements">Data</a>  | 
<a href="docs/Final_Report_sEMG.pdf">Report</a>  | <a href="https://github.com/hkcornwell/sEMG-signal-classification">Repository</a><br><br>
</p>
<div class="tags">
<span class="tag">Python</span>
<span class="tag">SVM</span>
<span class="tag">K-Means</span>
<span class="tag">Gaussian-Mixture</span>
<span class="tag">Naive-Bayes</span>
<span class="tag">Neural Network</span>
<span class="tag">Logistic Regression</span>
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<p>Every year, thousands of scientific papers are peer reviewed and published in verified academic journals focused
on a wide range of different industries. This python notebook and script automates the process of analyzing an entire journal of
academic papers by web scraping and word processing to gain insight to an industry.<br>
<a href="https://www.sciencedirect.com/">ScienceDirect</a>  | 
<a href="docs/Journal_Trend_Analysis_Walkthrough.pdf">Report</a>  | <a href="https://github.com/hkcornwell/Journal-Trends">Repository</a><br><br>
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<div class="tags">
<span class="tag">Python</span>
<span class="tag">Web Scraping</span>
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<p>Finite element analysis (FEA) has greatly assisted engineers in innovating across all industries. However, there is a computational ceiling that results from
models containing too many elements. Deep learning may be a solution to reduce the run time and memory of large models. In this study, four types of graph convolution networks
(GCNs) are trained and tested on a set of FEA results.<br>
<a href="https://computationalsocialnetworks.springeropen.com/articles/10.1186/s40649-019-0069-y">GCN Review</a>  | 
<a href="docs/Project_Report_FEA_GCN.pdf">Report</a>  | <a href="https://github.com/hkcornwell/GraphConvNet-FEA">Repository</a><br><br>
</p>
<div class="tags">
<span class="tag">PyTorch</span>
<span class="tag">GraphConvNet</span>
<span class="tag">FEA</span>
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