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@pavlosprotopapas
pavlosprotopapas committed Nov 23, 2024
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<!-- CSS Front Template -->
<link href="assets/front_v3_3/css/theme.min.css" rel="stylesheet">

<!-- SEO Meta Tags -->
<meta name="description" content="StellarDNN is a Harvard research lab focusing on machine learning applications in astronomy and physics. Led by Pavlos Protopapas, we develop neural networks and transformers for astronomical analysis.">
<meta name="keywords" content="StellarDNN, Machine Learning, Astronomy, Physics, Neural Networks, Harvard, Research Lab, Pavlos Protopapas, NeuroDiffEQ, Astromer, NNEHT">
<meta name="author" content="StellarDNN Research Lab">

<!-- Open Graph Meta Tags -->
<meta property="og:title" content="StellarDNN | Machine Learning Research Lab">
<meta property="og:description" content="Harvard research lab applying machine learning to astronomy and physics, developing innovative solutions for astronomical analysis and physical simulations.">
<meta property="og:image" content="https://stellardnn.org/assets/general/img/home/stellardnn_social.jpg">
<meta property="og:url" content="https://stellardnn.org">
<meta property="og:type" content="website">

<!-- Twitter Card Meta Tags -->
<meta name="twitter:card" content="summary_large_image">
<meta name="twitter:title" content="StellarDNN | Machine Learning Research Lab">
<meta name="twitter:description" content="Harvard research lab applying machine learning to astronomy and physics.">
<meta name="twitter:image" content="https://stellardnn.org/assets/general/img/home/stellardnn_social.jpg">

<!-- Canonical URL -->
<link rel="canonical" href="https://stellardnn.org">

<!-- Performance Optimizations -->
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link rel="preload" href="assets/front_v3_3/css/theme.min.css" as="style">
<link rel="preload" href="assets/front_v3_3/vendor/bootstrap/dist/js/bootstrap.bundle.min.js" as="script">

<!-- Schema.org structured data -->
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "ResearchOrganization",
"name": "StellarDNN",
"url": "https://stellardnn.org",
"logo": "https://stellardnn.org/assets/general/img/home/stellardnn_logo.png",
"description": "Research lab focusing on machine learning applications in astronomy and physics",
"parentOrganization": {
"@type": "Organization",
"name": "Harvard University",
"url": "https://www.harvard.edu"
},
"member": {
"@type": "Person",
"name": "Pavlos Protopapas",
"jobTitle": "Director",
"url": "https://stellardnn.org/people/pavlos-protopapas"
},
"knowsAbout": [
"Machine Learning",
"Neural Networks",
"Astronomy",
"Physics",
"Differential Equations"
],
"publishingPrinciples": "https://stellardnn.org/publications",
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"https://github.com/stellardnn",
"https://twitter.com/stellardnn"
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}
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{
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"itemListElement": [
{
"@type": "ResearchProject",
"name": "NeuroDiff HUB",
"description": "Neural network solutions for differential equations",
"url": "https://stellardnn.org/projects.html#NeuroDiffHUB"
},
{
"@type": "ResearchProject",
"name": "Astromer",
"description": "NLP techniques for astronomical lightcurves",
"url": "https://stellardnn.org/projects.html#Astromer"
},
{
"@type": "ResearchProject",
"name": "NNEHT",
"description": "Neural Networks for Event Horizon Telescope",
"url": "https://stellardnn.org/projects.html#NNEHT"
}
]
}
</script>
</head>

<body>
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<!-- ========== END HEADER ========== -->

<!-- ========== MAIN ========== -->
<main id="content" role="main">
<main id="content" role="main" itemscope itemtype="https://schema.org/ResearchOrganization">
<!-- Hero Section -->
<div class="container space-top-3 space-top-lg-4 space-bottom-2">
<div class="w-lg-80 text-center mx-lg-auto">
<div class="mb-5 mb-md-11">
<h1 class="display-4">StellarDNN</h1>
<p class="lead">StellarDNN is a research lab, led by Pavlos Protopapas, that focuses on using machine learning techniques,
particularly neural networks and transformers, to study and analyze astronomical and physical phenomena.
We use these techniques to classify celestial objects, solve differential equations, and extract important
features from data such as galaxy images or time series. By exploring the intersection of astronomy, physics,
machine learning, and statistics, the group aims to gain a deeper understanding of these phenomena and how
they can be characterized and studied.
</p>
<h1 class="display-4" itemprop="name">StellarDNN</h1>
<p class="lead" itemprop="description">
StellarDNN is a research lab at the School of Engineering and Applied Sciences (SEAS),
led by Pavlos Protopapas, that focuses on using machine learning
techniques, particularly neural networks and transformers, to study and analyze astronomical
and physical phenomena. We use these techniques to classify celestial objects,
solve differential equations, and extract important features from data such as galaxy images
or time series. By exploring the intersection of astronomy, physics, machine learning, and statistics,
the group aims to gain a deeper understanding of these phenomena
and how they can be characterized and studied.
</p>
</div>
</div>

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