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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Your Name - Bio</title>
<link href="https://fonts.googleapis.com/css2?family=Roboto:wght@400;700&display=swap" rel="stylesheet">
<style>
body { font-family: Arial, sans-serif; max-width: 800px; margin: auto; padding: 20px; }
h1 { font-family: 'Roboto', sans-serif; color: #333; }
h2 { color: #333; }
/* Profile picture styles */
.profile-pic {
width: 150px; /* Set desired width */
height: 150px; /* Set desired height */
border-radius: 50%; /* Oval shape */
margin-top: 10px;
}
/* Email image styles */
.email-pic {
width: 200px;
display: block;
margin: -7px;
float: left; /* Aligns the image to the left */
}
ul {
list-style-type: none; /* Remove bullet points */
padding: 0; /* Remove default padding */
}
li {
margin-bottom: 15px; /* Space between entries */
}
</style>
</head>
<body>
<h1>Saeed Saremi</h1>
<img src="images/profile.jpg" alt="Your Name" class="profile-pic"> <!-- Use profile-pic class -->
<p>
Welcome to my personal website! I am a Principal Research Scientist at Genentech, leading a team in Frontier Research. Previously, I was a researcher at UC Berkeley. I finished my PhD in physics at MIT under the supervision of Patrick A. Lee. My research is on generative modeling and the problem of sampling from high-dimensional distributions.
<br><br>
<img src="images/email.jpg" alt="My email address" class="email-pic"> <!-- Use email-pic class -->
<br>
</p>
<!-- <br style="line-height: 0.25;">-->
<h2>Selected Publications</h2>
<ul>
<li>
Kirchmeyer, M., Pinheiro, P. O., & <strong>Saremi, S.</strong> (2024). Score-based 3D molecule generation with neural fields. In <i>Proceedings of the Advances in Neural Information Processing Systems</i>.
</li>
<li>
Pinheiro, P. O., Jamasb, A., Mahmood, O., Sresht, V., & <strong>Saremi, S.</strong> (2024).
Structure-based drug design by denoising voxel grids. In <em>Proceedings of the International Conference on Machine Learning</em>.
</li>
<li>
<strong>Saremi, S.</strong>, Park, J. W., & Bach, F. (2024). Chain of log-concave Markov chains.
In <em>Proceedings of the International Conference on Learning Representations</em>.
</li>
<li>
Frey, N. C., Berenberg, D., Kleinhenz, J., Hotzel, I., Lafrance-Vanasse, J., Kelly, R. L.,
Wu, Y., Rajpal, A., Ra, S., Bonneau, R., Cho, K., Loukas, A., Gligorijevic, V., & <strong>Saremi, S.</strong> (2024).
Protein discovery with discrete walk-jump sampling. In <em>Proceedings of the International Conference on Learning Representations</em>.
<span style="color: lightpink;">(Outstanding Paper Award)</span>
</li>
<li>
Pinheiro, P. O., Rackers, J., Kleinhenz, J., Maser, M., Mahmood, O., Watkins, A., Ra, S., Sresht, V., & <strong>Saremi, S.</strong> (2023).
3D molecule generation by denoising voxel grids. In <i>Proceedings of the Advances in Neural Information Processing Systems</i>.
</li>
<li>
<strong>Saremi, S.</strong>, & Srivastava, R. K. (2022). Multimeasurement generative models.
In <em>Proceedings of the International Conference on Learning Representations</em>.
</li>
<li>
<strong>Saremi, S.</strong>, & Hyvärinen, A. (2019). Neural empirical Bayes.
<em>Journal of Machine Learning Research</em>, 20(181), 1–23.
</li>
<li>
<strong>Saremi, S.</strong>, & Sejnowski, T. J. (2013). Hierarchical model of natural images and the origin of scale invariance.
<em>Proceedings of the National Academy of Sciences</em>, 110(8), 3071–3076.
</li>
<li>
<strong>Saremi, S.</strong> (2007). RKKY in half-filled bipartite lattices: Graphene as an example.
<em>Physical Review B</em>, 76(18), 184430.
</li>
<li>
<strong>Saremi, S.</strong>, & Lee, P. A. (2007). Quantum critical point in the Kondo-Heisenberg model on the honeycomb lattice.
<em>Physical Review B</em>, 75(16), 165110.
</li>
</ul>
<h2>Teaching</h2>
<ul>
<li><strong>CS 189/289A</strong>:<em> Introduction to Machine Learning</em>, UC Berkeley, EECS Department, Fall 2024</li>
</ul>
</body>
</html>