portfolio/index.html at main · Austin243/portfolio · GitHub

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<!DOCTYPE html>
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    <title>Austin Ellis - Computational Chemistry</title>
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      name="description"
      content="Austin Ellis is a computational chemist focused on electronic-structure theory, machine-learning-enabled workflows, and chemistry-driven materials discovery."
    >
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      content="Computational chemistry, electronic structure, and machine-learning-enabled materials discovery."
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      content="Computational chemistry, electronic structure, and machine-learning-enabled materials discovery."
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  <body>
    <div class="site-shell">
      <header class="site-header reveal" style="--delay: 0ms;">
        <a class="brand" href="index.html">Austin Ellis</a>
        <div class="header-links" aria-label="Quick header links">
          <a href="mailto:austin.ellis813@gmail.com">Email</a>
          <a href="AustinEllisCV.pdf" target="_blank" rel="noopener">CV</a>
        </div>
      </header>

      <main class="page">
        <section class="landing reveal" style="--delay: 50ms;" aria-labelledby="about-intro">
          <article class="card profile-stack">
            <img class="avatar" src="headshot.png" alt="Portrait of Austin Ellis" loading="eager">
            <h1 class="hero-name" id="about-intro">Austin Ellis</h1>
            <p class="hero-tagline">
              M.S. Chemistry, CSU Northridge | Current ORNL CNMS Intern
            </p>
          </article>

          <article class="card intro-card">
            <h2>Computational chemistry for materials discovery and electronic structure</h2>
            <p class="lead">
              I use electronic-structure theory, high-throughput computation, and machine learning to study chemical
              bonding and accelerate chemistry-driven materials discovery.
            </p>
            <div class="pill-row" aria-label="Research interests">
              <span class="pill">2D materials</span>
              <span class="pill">High-pressure chemistry</span>
              <span class="pill">Machine learning for DFT</span>
              <span class="pill">HPC automation</span>
            </div>
            <nav class="profile-links" aria-label="Profile links">
              <a href="https://github.com/Austin243" target="_blank" rel="noopener">GitHub</a>
              <a href="https://www.linkedin.com/in/Austin243" target="_blank" rel="noopener">LinkedIn</a>
              <a href="https://orcid.org/0009-0007-1031-132X" target="_blank" rel="noopener">ORCID</a>
              <a href="https://scholar.google.com/citations?user=Y8mlpekAAAAJ&amp;hl=en" target="_blank" rel="noopener">Google Scholar</a>
              <a href="mailto:austin.ellis813@gmail.com">Email</a>
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          </article>
        </section>

        <nav class="tabs reveal" style="--delay: 100ms;" aria-label="Portfolio tabs">
          <a class="tab is-active" href="index.html" aria-current="page">About</a>
          <a class="tab" href="research.html">Research</a>
          <a class="tab" href="teaching.html">Outreach</a>
          <a class="tab" href="technical.html">Technical</a>
          <a class="tab" href="publications.html">Publications</a>
          <a class="tab" href="posters.html">Posters</a>
          <a class="tab" href="slides.html">Slides</a>
          <!-- <a class="tab" href="blog.html">Blog</a> -->
          <a class="tab" href="updates.html">Updates</a>
        </nav>

        <section class="panel reveal" style="--delay: 140ms;" aria-labelledby="about-title">
          <h2 class="panel-title" id="about-title">About Me</h2>
          <p class="panel-subtitle">
            I recently completed my M.S. in Chemistry at CSU Northridge and am currently an intern at Oak Ridge National
            Laboratory's Center for Nanophase Materials Sciences (CNMS) while preparing to apply to Chemistry Ph.D. programs.
          </p>

          <div class="two-col">
            <article class="info-card reveal" style="--delay: 190ms;">
              <h3>Current Focus</h3>
              <p>
                Building transferable computational chemistry workflows that combine electronic-structure calculations,
                chemical intuition, and machine learning across chemically diverse systems.
              </p>
              <ul class="key-list">
                <li>Developing physics-informed models and high-throughput pipelines for chemical property prediction</li>
              </ul>
            </article>

            <article class="info-card reveal" style="--delay: 240ms;">
              <h3>At a Glance</h3>
              <ul class="key-list">
                <li><strong>Role:</strong> Current ORNL CNMS research intern; preparing Chemistry Ph.D. applications</li>
                <li><strong>Education:</strong> M.S. Chemistry (CSU Northridge, 2026), B.S. Pharmacological Chemistry (UCSD, 2022)</li>
                <li><strong>Technical:</strong> Python, PyTorch, Linux/Slurm, scientific software, HPC administration</li>
                <li><strong>Location:</strong> Oak Ridge, TN</li>
              </ul>
            </article>
          </div>
        </section>

        <section class="panel reveal" style="--delay: 290ms;" aria-labelledby="honors-title">
          <h2 class="panel-title" id="honors-title">Selected Honors &amp; Awards</h2>
          <div class="honors-list">
            <article class="honor-item reveal" style="--delay: 320ms;">
              <h3>College of Science and Mathematics Dean's Scholarship</h3>
              <p>CSU Northridge | 2026</p>
            </article>

            <article class="honor-item reveal" style="--delay: 350ms;">
              <h3>APS Global Physics Summit DCOMP Travel Award</h3>
              <p>Denver, Colorado | 2026</p>
            </article>

            <article class="honor-item reveal" style="--delay: 380ms;">
              <h3>AI4Mat-NeurIPS Travel Grant</h3>
              <p>San Diego, California | 2025</p>
            </article>
          </div>
        </section>
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