-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathindex.html
72 lines (61 loc) · 3.06 KB
/
index.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
<!DOCTYPE html>
<html>
<head>
<script src="jquery.js"></script>
<script>
$(function(){
$("#base").load("base.html #left");
});
</script>
<meta charset=UTF-8>
<meta name=description content="">
<meta name=keywords content="">
<title>Clayton Thorrez</title>
<link rel="stylesheet" href="style.css" type="text/css">
</head>
<body id=body>
<div id=frame>
<div id="base"></div>
<div id=right>
<h3>About me</h3>
<p>
Hello, I'm Clayton and I like machine learning. I do LLM stuff at Microsoft for work and develop rating systems for esports in my free time. I authored <a href=https://cthorrez.github.io/riix/riix.html><code>riix</code></a>, an open source python package for rating systems experimentation, and I created and maintain EsportsBench, a project to curate <a href=https://huggingface.co/datasets/EsportsBench/EsportsBench>datasets</a> and perform rating system benchmark <a href=https://cthorrez.github.io/papers/esportsbench/EsportsBench_preprint.pdf>experiments</a>.
<p>
<p><a href="https://kegan.lol/" id="bro">My Bro</a></p>
<h3>Education</h3>
<p>
M.S. degree in Computer Science, University of Massachusetts Amherst, 2019
<br>
B.S.E degrees in Computer Science and Data Science, University of Michigan, 2018
<br>
<p>
<h3>Experience</h3>
<p>
<b>Applied Scientist, Microsoft, 2020-Present</b><br>
ML and NLP for Outlook, Teams, and Copilot.
<p>
<p>
<b>Data Scientist Intern, Microsoft, Summer 2019</b><br>
Applied machine learning to detect, predict, and find root causes for manufacturing defects.
<p>
<p>
<b>Research Intern, Lawrence Livermore National Laboratory, Summer 2018</b> <br>
Investigated deep reinforcement learning based approaches for developing sepsis treatments.
<p>
<p>
<b>Data Science Intern, ViaSat Inc, Summer 2017</b> <br>
Developed deep learning methods for browser resource prefetching.
<p>
<p>
<b>Undergraduate Research Assistant, University of Michigan, 2015-2016,2018</b> <br>
Worked on NLP projects in deception detection, sentiment analysis, and short text clustering.
<p>
<!-- <p>
Instructional Aide, University of Michigan <br>
Led discussion sections, office hours and wrote assignments for EECS 376, foundations of computer science.
<p> -->
</div> <!--right-->
<div id="footer"></div>
</div> <!--frame-->
</body>
</html>