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@zeyudsai
zeyudsai authored Nov 23, 2024
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<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Zeyu Ding</title>
<style>
body {
font-family: "EB Garamond", serif;
line-height: 1.6;
color: #2c3e50;
max-width: 800px;
margin: 0 auto;
padding: 2rem;
background-color: #f8f9fa;
}

h1, h2, h3 {
font-family: "Spectral", serif;
color: #34495e;
}

h1 {
font-size: 2.5em;
margin-bottom: 1em;
color: #2c3e50;
border-bottom: 1px solid #eee;
padding-bottom: 0.5em;
}

h2 {
font-size: 1.8em;
margin-top: 2em;
color: #4a5568;
}

h3 {
font-size: 1.4em;
color: #586374;
}

.container {
background: white;
padding: 3rem;
border-radius: 8px;
box-shadow: 0 2px 4px rgba(0,0,0,0.1);
}

.section {
margin-bottom: 2.5em;
}

.skills-list {
list-style: none;
padding: 0;
}

.skills-list li {
margin-bottom: 0.5em;
}

.publication {
margin-bottom: 2em;
padding-bottom: 1em;
border-bottom: 1px solid #eee;
}

.publication-title {
font-weight: bold;
color: #2c3e50;
}

.publication-authors {
font-style: italic;
color: #666;
}

.publication-venue {
color: #666;
}

a {
color: #3498db;
text-decoration: none;
}

a:hover {
color: #2980b9;
text-decoration: underline;
}

.contact {
background: #f8f9fa;
padding: 1em;
border-radius: 4px;
margin-top: 2em;
}

@media (max-width: 768px) {
body {
padding: 1rem;
}

.container {
padding: 1.5rem;
}
}
</style>
<meta name="description" content="Zeyu Ding - Ph.D. candidate in Statistics">
<meta name="author" content="Zeyu Ding">
<link rel="stylesheet" href="style.css">
<link rel="icon" href="assets/images/favicon.ico" type="image/x-icon">
<title>Zeyu Ding - Personal Website</title>
</head>
<body>
<div class="container">
<header>
<img src="assets/images/profile.jpg" alt="Profile Picture" class="profile-pic">
<h1>Zeyu Ding</h1>

<div class="section">
<p>Ph.D. Candidate in Statistics</p>
</header>
<nav>
<ul>
<li><a href="#about">About Me</a></li>
<li><a href="#research">Research</a></li>
<li><a href="#experience">Experience</a></li>
<li><a href="#publications">Publications</a></li>
<li><a href="#contact">Contact</a></li>
</ul>
</nav>
<main>
<section id="about">
<h2>About Me</h2>
<p>Ph.D. candidate in Statistics at TU Dortmund, working under the supervision of Prof. Dr. Katja Ickstadt and Dr. Alexander Munteanu. Currently working as a Scientific Researcher at Lamarr Institute for Machine Learning and AI, one of Germany's top AI research centers.</p>
</div>

<div class="section">
<h2>Research Interests</h2>
<p>I am a Ph.D. candidate at TU Dortmund working on high-dimensional Bayesian models...</p>
</section>
<section id="research">
<h2>Research</h2>
<ul>
<li>Bayesian Statistics</li>
<li>Machine Learning</li>
<li>Data Reduction Approaches</li>
<li>High-Dimensional Complex Models</li>
<li>High-Dimensional Models</li>
<li>Statistical Computing</li>
</ul>
</div>

<div class="section">
<h2>Teaching Experience</h2>
<p>I have been involved in teaching the following courses at TU Dortmund:</p>
</section>
<section id="experience">
<h2>Working Experience</h2>
<ul>
<li><strong>Monte Carlo Simulation Methods</strong><br>
<em>Advanced statistical computing techniques and simulation methods</em></li>
<li><strong>Statistical Learning and Big Data Analysis</strong><br>
<em>Machine learning algorithms and big data processing</em></li>
<li><strong>Bayesian Statistics</strong><br>
<em>Theoretical foundations and practical applications</em></li>
<li><strong>Case Studies in Statistics</strong><br>
<em>Real-world statistical analysis and problem solving</em></li>
<li><strong>Lamarr Institute for AI</strong> - Scientific Researcher (2024 - Present)</li>
<li><strong>TU Dortmund</strong> - Scientific Researcher (2021 - Present)</li>
<li><strong>Daimler Mobility AG</strong> - Quantitative Risk Management Intern</li>
</ul>
</div>

<div class="section">
<h2>Technical Expertise</h2>

<h3>Programming Languages & Tools</h3>
<ul class="skills-list">
<li><strong>Advanced:</strong> Python, R</li>
<li><strong>Proficient:</strong> SAS, Julia, SQL</li>
<li><strong>Intermediate:</strong> VBA, LaTeX, PySpark, PyTorch</li>
</ul>

<h3>Statistical Methods & Theory</h3>
<ul class="skills-list">
<li><strong>Bayesian Methods:</strong> MCMC, Prior Design, Model Selection</li>
<li><strong>Machine Learning:</strong> Gradient Boosting, Random Forests, SVMs</li>
<li><strong>Deep Learning:</strong> Neural Networks, RNN, LSTM, Bayesian Neural Networks</li>
<li><strong>Statistical Modeling:</strong> GLM, Time Series (ARIMA, GARCH, GJR-GARCH)</li>
</ul>

<h3>Software Development</h3>
<ul class="skills-list">
<li><strong>Version Control:</strong> Git</li>
<li><strong>IDEs:</strong> PyCharm, RStudio</li>
<li><strong>Big Data:</strong> Hadoop, Spark</li>
<li><strong>Cloud Computing:</strong> AWS</li>
</section>
<section id="publications">
<h2>Publications</h2>
<ul>
<li><strong>Scalable Bayesian p-Generalized Probit Regression</strong> - Advances in Data Analysis</li>
<li><strong>Bayesian Analysis for Dimensionality Reduction</strong> - Machine Learning under Constraints</li>
</ul>
</div>

<div class="section">
<h2>Recent Publications</h2>

<div class="publication">
<div class="publication-title">Scalable Bayesian p-Generalized Probit and Logistic Regression</div>
<div class="publication-authors">Zeyu Ding, Katja Ickstadt, Alexander Munteanu, Simon Omlor</div>
<div class="publication-venue">Advances in Data Analysis and Classification (2024)</div>
</div>

<div class="publication">
<div class="publication-title">Bayesian analysis for dimensionality and complexity reduction</div>
<div class="publication-authors">Zeyu Ding, Katja Ickstadt, Alexander Munteanu</div>
<div class="publication-venue">Machine Learning under Resource Constraints (2023)</div>
</div>
</div>

<div class="contact">
</section>
<section id="contact">
<h2>Contact</h2>
<ul class="skills-list">
<ul>
<li>Email: <a href="mailto:zeyu.ding@tu-dortmund.de">zeyu.ding@tu-dortmund.de</a></li>
<li>GitHub: <a href="https://github.com/zeyudsai">zeyudsai</a></li>
<li>LinkedIn: <a href="https://www.linkedin.com/in/zeyu-ding-sai/">Zeyu Ding</a></li>
<li>GitHub: <a href="https://github.com/zeyudsai" target="_blank">zeyudsai</a></li>
<li>LinkedIn: <a href="https://www.linkedin.com/in/zeyu-ding-sai/" target="_blank">Zeyu Ding</a></li>
</ul>
</div>
</div>
</section>
</main>
<footer>
<p>&copy; 2024 Zeyu Ding. All rights reserved.</p>
</footer>
</body>
</html>

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