-
Notifications
You must be signed in to change notification settings - Fork 0
/
PersonalPage.html
121 lines (121 loc) · 4.72 KB
/
PersonalPage.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
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Uddeshya Pandey - Personal Webpage</title>
<style>
body {
font-family: Arial, sans-serif;
margin: 0;
padding: 0;
background-color: #f4f4f9;
color: #333;
}
header {
background-color: #4CAF50;
color: white;
padding: 10px 0;
text-align: center;
}
.container {
width: 80%;
margin: 20px auto;
}
section {
margin-bottom: 20px;
}
h2 {
color: #4CAF50;
border-bottom: 2px solid #4CAF50;
padding-bottom: 5px;
}
ul {
list-style: none;
padding: 0;
}
ul li {
background: #e2e2e2;
margin: 5px 0;
padding: 10px;
border-radius: 5px;
}
a {
color: #4CAF50;
text-decoration: none;
}
a:hover {
text-decoration: underline;
}
</style>
</head>
<body>
<header>
<h1>Uddeshya Pandey</h1>
<p>PhD-candidate pediatric oncology at Princess Máxima Center / Utrecht University | Computational Biologist | Clinical AI</p>
</header>
<div class="container">
<section id="about">
<h2>About Me</h2>
<p>Ph.D. candidate at Utrecht University and Prinses Maxima Centrum for Pediatric Oncology, focusing on AI-driven imaging technologies for monitoring immunotherapies targeting diffuse midline gliomas and other cancers. Funded by Marie Sklodowska-Curie Actions and the Dutch Cancer Society.</p>
</section>
<section id="research">
<h2>Research Interests</h2>
<ul>
<li>AI-driven imaging technologies for cancer treatment</li>
<li>Developing, testing, and deploying AI models in healthcare</li>
<li>Machine learning applications in computer vision, NLP, and deep learning</li>
</ul>
</section>
<section id="skills">
<h2>Skills</h2>
<ul>
<li>Programming: Python, R, MATLAB, TensorFlow, Scikit-learn</li>
<li>Data Analysis: SQL, Excel, Matplotlib, Seaborn</li>
<li>Communication: English, Hindi, Urdu (Professional Working)</li>
</ul>
</section>
<section id="publications">
<h2>Publications</h2>
<ul>
<li>DeePNAP: A deep learning method to predict protein-nucleic acids binding affinity from sequence</li>
<li>Rapid Molecular Evaluation of Human Kidney Tissue Sections by In Situ Mass Spectrometry and Machine Learning to Classify the Nephrotic Syndrome</li>
</ul>
</section>
<section id="projects">
<h2>Projects</h2>
<ul>
<li>Applications of Machine Learning for Mass Spectrometry-based Diagnostics</li>
<li>Content-mining of Open Phytochemical literature for Medicinal activities (CEVopen)</li>
</ul>
</section>
<section id="experience">
<h2>Experience</h2>
<ul>
<li>PHD Candidate, Prinses Máxima Centrum voor kinderoncologie (October 2023 - Present)</li>
<li>MS Thesis, IIT Hyderabad (July 2022 - May 2023)</li>
<li>Project Student, IISER Tirupati (August 2021 - May 2022)</li>
<li>Internship II, University of Cambridge (January 2022 - March 2022)</li>
<li>iGEM Competition Team Project (February 2019 - November 2020)</li>
<li>Internship I, ICRISAT (June 2019 - July 2019)</li>
</ul>
</section>
<section id="education">
<h2>Education</h2>
<ul>
<li>Ph.D., Utrecht University (May 2023 - August 2027)</li>
<li>Integrated BS MS, IISER Pune (2018 - 2023)</li>
<li>Intermediate College, Aligarh Muslim University (2015 - 2018)</li>
<li>High School Diploma, Saint Fidelis Senior Secondary School (August 2003 - August 2015)</li>
</ul>
</section>
<section id="contact">
<h2>Contact</h2>
<p>Agra Road, Aligarh, Uttar Pradesh, India, Pincode: 202001</p>
<p>Mobile: +91 9381996957</p>
<p>Email: <a href="mailto:[email protected]">[email protected]</a></p>
<p>LinkedIn: <a href="https://www.linkedin.com/in/uddeshya-pandey-bb7310173">Uddeshya Pandey</a></p>
</section>
</div>
</body>
</html>