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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" /> -->
<link rel="stylesheet" href="https://fonts.googleapis.com/icon?family=Material+Icons">
<link rel="stylesheet" href="style.css">
<!-- <link rel="icon" href = > -->
<title>Alex Sauer</title>
</head>
<body>
<canvas id="canvas1"></canvas>
<script src="script.js"></script>
<div id="textz1">
<div id="name-area" class='area'>
<h1 id='name'>
Alex Sauer
</h1>
</div>
<div id='introduction' class="area">
<p>
I am a final year DPhil student at the University of Oxford
where I am part of Jens Rittscher's group and the health data science CDT. </p>
</p>
<p> My main project investigates the question how state-of-the-art computer vision algorithms can
be adopted to work well on microscopy images acquired by the PanExm protocol.<br>
PanExm is developed by the <a href="https://www.bewersdorflab.org/" style="color:white">Bewersdorf
lab</a>
as a protocol for <a href="https://en.wikipedia.org/wiki/Expansion_microscopy"
style="color:white">expansion microscopy </a>
and allows to reveal the whole ultrastructure of a cell.<br>
<br>
My background is in statistics, mathematics and
economics. I am fascinated by modern computers and by the
opportunities they offer.
</p>
<p>
For my work published in ISBI 2023 titled
'Leveraging Inter-Annotator Disagreement For Semi-Supervised Segmentation'
please see the repository
<a href="https://github.com/AlexSauer/MultiAnnotatorSSL" style="color:white">here</a>.
</p>
<p>
For my work published in the CVPR workshop for microscopy titled
'Refining Biologically Inconsistent Segmentation Masks with Masked Autoencoders'
please see the repository
<a href="https://github.com/AlexSauer/BioMaeRef" style="color:white">here</a>.
</p>
</div>
</div>
</body>
</html>