-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathindex.html
78 lines (78 loc) · 3.93 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
73
74
75
76
77
78
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="description" content="Thomas Tran's Professional Portfolio">
<title>Thomas Tran | Portfolio</title>
<link rel="stylesheet" href="style.css">
<link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.6.1/css/all.min.css" rel="stylesheet"> <!-- Font Awesome -->
</head>
<body>
<div class="page-border">
<div class="container">
<aside class="sidebar">
<img src="https://media.licdn.com/dms/image/v2/D5603AQHGgToqELu7Kw/profile-displayphoto-shrink_400_400/profile-displayphoto-shrink_400_400/0/1731473686621?e=1737590400&v=beta&t=Vyix8a-wa2kYewCYbNaWf3C1EO_hgQI9DKCk5yJGv9c" alt="Thomas Tran Profile" class="profile-pic">
<div class="contact-info">
<h2>Contact</h2>
<p><i class="fas fa-phone"></i> <strong>Phone:</strong> (347) 494-8082</p>
<p><i class="fas fa-envelope"></i> <strong>Email:</strong>
<a href="mailto:tam.tran@gwu.edu">tam.tran@gwu.edu</a>
</p>
<p><i class="fab fa-linkedin"></i> <strong>LinkedIn:</strong>
<a href="https://linkedin.com/in/gwcyber" target="_blank">linkedin.com/in/gwcyber</a>
</p>
</div>
</aside>
<main class="content">
<section class="bio">
<h1>Thomas Tran Praxis Page</h1>
<p>
Welcome! I am an engineer and researcher with a unique blend of expertise in cybersecurity, financial engineering, and machine learning.
My career spans roles in financial engineering, machine learning operations, and adversarial AI red-teaming. While these domains differ their underlying principals and tools
used are the same, and it's mostly statistics and probability where they overlap.
</p>
<p>
I am in the Doctor of Engineering in Cybersecurity Analytics at The George Washington University while contributing to cutting-edge research
and real-world applications in reinforcement learning from human feedback (RLHF) and adversarial machine learning.
My mission is to enhance AI systems' robustness and security while ensuring their alignment with human values.
</p>
<section class="projects">
<h2>Published Papers & Projects</h2>
<ul>
<li><a href="#">Adversarial Training for Robust Neural Networks</a></li>
<li><a href="#">Optimizing RLHF for AI Alignment</a></li>
<li><a href="#">Enhancing Machine Learning Models with Cryptographic Techniques</a></li>
</ul>
</section>
</section>
<section class="academic">
<h2>Academic Background</h2>
<ul>
<li>
<strong>Doctor of Engineering in Cybersecurity Analytics</strong> (In Progress, Dec. 2026)
<br>The George Washington University, Washington, D.C.
</li>
<li>
<strong>Master of Science in Financial Engineering</strong> (May 2023)
<br>Stevens Institute of Technology, Hoboken, NJ
</li>
<li>
<strong>Master of Business Administration in Finance</strong> (Dec. 2021)
<br>The University of Alabama at Birmingham, Birmingham, AL
</li>
</ul>
</section>
<section class="interests">
<h2>Interests</h2>
<ul>
<li><strong>Adversarial Machine Learning:</strong> Developing methods to detect and counteract adversarial attacks.</li>
<li><strong>Reinforcement Learning from Human Feedback (RLHF):</strong> Aligning AI systems with human values and preferences.</li>
<li><strong>Machine Learning:</strong> Building scalable, robust, and efficient models for practical applications.</li>
</ul>
</section>
</main>
</div>
</div>
</body>
</html>