-
Notifications
You must be signed in to change notification settings - Fork 1
/
fellow.html
247 lines (206 loc) · 18.9 KB
/
fellow.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
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta content="width=device-width, initial-scale=1.0" name="viewport">
<meta content="" name="descriptison">
<meta content="" name="keywords">
<!-- Favicons -->
<link href="assets/favicon.ico" rel="icon">
<link href="assets/img/apple-touch-icon.png" rel="apple-touch-icon">
<title>Computational Health Fellows | The Data Informatics Center for Epidemiology (DICE)</title>
<meta name="title" content="The Data Informatics Center for Epidemiology (DICE)">
<!-- <meta name="description"
content="Designing digital solutions which engage citizens in four core areas — logistics, health outcomes, user-centric impact, and communication."> -->
<meta property="og:image" content="assets/images/header.jpg">
<!-- Google Fonts -->
<link
href="https://fonts.googleapis.com/css?family=Open+Sans:300,300i,400,400i,700,700i|Raleway:300,400,500,700,800"
rel="stylesheet">
<!-- Vendor CSS Files -->
<link href="assets/vendor/bootstrap/css/bootstrap.min.css" rel="stylesheet">
<link href="assets/vendor/venobox/venobox.css" rel="stylesheet">
<link href="assets/vendor/font-awesome/css/font-awesome.min.css" rel="stylesheet">
<link href="assets/vendor/owl.carousel/assets/owl.carousel.min.css" rel="stylesheet">
<link href="assets/vendor/aos/aos.css" rel="stylesheet">
<!-- Template Main CSS File -->
<link href="assets/css/style.css" rel="stylesheet">
<!-- Flickity CSS File -->
<link href="https://unpkg.com/flickity@2/dist/flickity.min.css" rel="stylesheet">
<!-- Global site tag (gtag.js) - Google Analytics -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-GF1FRVH53P"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'G-GF1FRVH53P');
</script>
<!-- =======================================================
* Template Name: TheEvent - v2.2.0
* Template URL: https://bootstrapmade.com/theevent-conference-event-bootstrap-template/
* Author: BootstrapMade.com
* License: https://bootstrapmade.com/license/
======================================================== -->
</head>
<script>
function hideSnackbar() {
// Get the snackbar DIV
var x = document.getElementById("snackbar");
var link = document.getElementById("snackbar-link");
// Add the "show" class to DIV
x.className = "hide";
link.setAttribute("style", "visibility:hidden")
}
</script>
<body>
<!-- ======= Header ======= -->
<header id="header">
<div class="container">
<div id="logo" class="pull-left">
<!-- Uncomment below if you prefer to use a text logo -->
<h1><a href="./index.html">DICE</a></h1>
<!-- <a href="index.html" class="scrollto"><img src="assets/img/auto_id_tpt_new_america.png" alt="" title=""></a> -->
</div>
<nav id="nav-menu-container">
<ul class="nav-menu">
<li><a href="./index.html">Home</a></li>
<li><a href="./research.html">Research</a></li>
<li><a href="./people.html">People</a></li>
<li><a href="./news.html">News and Insights</a></li>
<li ><a class="active" href="./fellow.html">Computational Health Fellow</a></li>
<li><a href="./talks.html">Talks</a></li>
<li><a href="https://www.pathcheck.org/">PathCheck Foundation</a></li>
<!-- <li><a href="./index.html#leadership">Leadership</a></li> -->
<!-- <li><a href="./index.html#recent-work">Recent Work</a></li> -->
<!-- <li><a href="#about">About Us</a></li> -->
<li class="buy-tickets"><a href="https://tiny.cc/pathcheckslack">Get Involved</a></li>
</ul>
</nav><!-- #nav-menu-container -->
</div>
</header><!-- End Header -->
<section id="leadership" class="section-with-bg" style="margin-top: 70px;">
<div class="container">
<div class="section-header">
<h2 style="color: #191919">PathCheck DICE Computational Health Fellows</h2>
</div>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">What is the PathCheck DICE Fellow initiative?</h3>
<p class="blue-underline"> The PathCheck CH Fellow initiative is a program started by the PathCheck Foundation, a 501(c) non-profit organization spun out of MIT. The Fellow program intends to support doctoral students from selected countries to carry out impactful research on computational health, AI for public health, Computational Privacy in Health, and much more! The Fellowship supports the selected fellows by providing a quarterly grant to support DICE research initiatives for 1 year, provided they continue to maintain expectations set by the foundation. Apart from the financial support, the fellows get access to multiple data sources, a world-class research community with international Professors, Post-Docs, and other graduate students from institutions like MIT, CMU, Harvard, Mayo Clinic, University of Montreal, the University of Alabama at Birmingham, and many more!</a></p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">Who is eligible?</h3>
<p class="blue-underline"> All doctoral students/post-docs from low- and middle-income countries (India, Brazil, etc.) working on computational health, bioinformatics, etc with a focus on building scholarship in the direction of public health using data, machine learning, or more are invited to apply! In addition, we highly encourage applications from groups historically underrepresented in the computational health field. A faculty advisor can nominate a maximum of 2 students to ensure diversity in the application. </p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">What are the benefits of being a PathCheck CH Fellow?</h3>
<p class="blue-underline"> <ol> <li>Financial support (by quarter) to support the impactful work (given the fellow maintains the expectations set by the foundation in terms of research and contributions)</li>
<li>Access to an amazing network of AI and digital health experts and to the large user base on our Slack and our digital health open source initiatives! </li>
<li>Access to private data sources - For instance, we recently signed a Data User Agreement (DUA) with Facebook, Carnegie-Mellon University (CMU), and the University of Maryland, College Park (UMD CP) to get access to de-identified individual-level data from the COVID-19 surveys they run.</li>
<li>Work with researchers like Sue Feldman (the University of Alabama at Birmingham), Manuel Morales (University of Montreal, Quebec), Pranav Rajpurkar (Harvard), Byran Wilder (CMU), Lav Varshney (UIUC), Tavpritesh Sethi (IIIT Delhi), Swaminathan Pathmanabhan Iyer (MD Anderson Cancer Centre), Thomas C. Kingsley (Mayo Clinic), Ramesh Raskar (MIT Media Lab), and more!</li>
</ol> </p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">What are the application materials required? </h3>
<p class="blue-underline"> <ol>
<li>CV</li>
<li>500 word statement of interest</li>
<li>Letter of recommendation from the thesis advisor to be mailed to [email protected]. Kindly keep the mail subject line as “DICE Computational Health Fellow - Candidate Name, Institution - LoR”</li>
</ol> <br>
Please upload these documents into a Google Form - named with your name in the following convention (Lastname_Firstname). The application link can be found <a href="https://forms.gle/Nxh5NVbRm4wDnfSY6"><b>here</b></a>.
</p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">When is the deadline?
</h3>
<p class="blue-underline"> The deadline for submission is <b><strike>Dec 1st</strike> Jan 15th, 2022 at 11:59 PM EDT </b>. The deadline for application is rolling with the first deadline on Jan 15th at 11:59 PM EDT, followed by 15th of months Feb and Mar. Priority for early deadline applicants.
</p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">How long is the fellowship?
</h3>
<p class="blue-underline"> The fellowship is expected to last for 12 months, provided the candidate maintains the expectations set by the Foundation in terms of research, open-source contributions, impact, and more! </p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d"> Do the fellows get support for travel, conference funding, etc?
</h3>
<p class="blue-underline"> Currently, the financial support is a fixed amount that is dispersed to the individual fellow on a quarterly basis. The fellows are able to use it on anything that helps them build a better research environment. </p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">What are few research topics that are of interest and what would be their impact?</h3>
<p class="blue-underline"> <b>>Research areas (hammers)</b>:
Privacy-tech (FL/SL, DP/ MPC)
ML for population health
Behavior science in health
Crowdsourcing data in digital health
Data sharing mechanism
Geospatial data analysis
Agent-based modeling
Computational epidemiology
AI for Medical Imaging
<br> <br>
<b>Impact areas (nails)</b>
Pandemic response
Solutions for vulnerable population
Authentication and addressing misinformation
Mobile apps for citizen engagement
Incentivization and gamification for health<br>
Additionally, we would like to support research that has elements of field work, open-source deployment of computational health tools, etc!
</p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">Are there intermediate evaluations?</h3>
<p class="blue-underline"> Yes, the fellow will be evaluated every quarter. The details of the evaluation will be shared with the finalized fellows before the program begins </p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">When does the program officially start?</h3>
<p class="blue-underline"> The program starts in between Jan 30th, 2022 to March 30th, 2022.</p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">What is the size of the cohort?
</h3>
<p class="blue-underline">As much as we would like to support all the brilliant doctoral students out there, we are limited by funding constraints. There is no fixed upper limit, but at the moment we aim to support 4-5 fellows for a year. </p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d"> Do I need to get a co-supervisor from the PathCheck Foundation?
</h3>
<p class="blue-underline"> We don’t require you to add someone from the foundation as your co-supervisor, but you are welcome to discuss with any of the faculty members involved to know if they are interested in being your co-supervisor. It would be the faculty’s decision to accept the invitation or not. THIS IS NOT MANDATORY. </p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d"> Who should I select as my letter of reference? How many do you need?
</h3>
<p class="blue-underline"> We would prefer to have your thesis supervisor as your recommender. We require only one letter of recommendation.</p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d"> Are there expectations for venues where the fellow should publish their work?
</h3>
<p class="blue-underline"> There is not a fixed set of venues. Work will be published in venues according to the research sub-field, after discussion with faculty members collaborating with the PathCheck Foundation. </p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d"> I have more questions, how should I reach out?
</h3>
<p class="blue-underline"> Please feel free to reach out to Rohan Sukumaran ([email protected]) in case you have any questions! Additionally, we conducted an AMA on LinkedIn, kindly check that <a href="https://www.linkedin.com/feed/update/urn:li:activity:6864255070108733440">out</a>! Good luck with your application! </p>
<!-- <h4 id="adverse-events" style="text-align:left; color:#4d4d4d">Adverse Events</h3>
<p class="blue-underline">In collaboration with data scientists and medical researchers from Pennsylvania State University, Mayo Clinic and the University of Texas MD Anderson Cancer Center, we have been working on analyzing reports on adverse events following vaccination. The Vaccine Adverse Events Reporting System (VAERS) is a post-licensure monitoring system that has been established to ensure the safety of vaccines. The VAERS collects and analyzes reports of adverse events that happen after vaccination. As part of our commitment to provide systems support for vaccine safety, we are conducting various data analytics studies on adverse events reported to the VAERS from December 15, 2020. The output of this ongoing research takes the form of a dashboard and research papers that improve our understanding of adverse events and leverage the generated insights to contribute to vaccine awareness efforts. A first paper has been submitted to JAMA. <br> <br> View the preprint: <a href="#">[INSERT TITLE]</a></p>
<h4 id="deep-abm" style="text-align:left; color:#4d4d4d">Deep Agent Based Modeling (DeepABM)</h3>
<p class="blue-underline">The current sanitary crisis has come at great cost to our economies. Sacrifices have already been made in order to curb the spread and safe lives. As hard choices still remain ahead of us, it is paramount to have a comprehensive understanding of how public health interventions, economic incentives and strategic lockdowns impact can be optimized to allow for economic recovery. The dynamic of these interactions, taking place while the epidemiological dynamics of the virus spread run in the background, is poorly understood. In macroeconomics, agent-based models (ABM) have been successfully used to understand these types of interactions among agents and institutions. Recent studies incorporate the COVID-19 spread into economic studies with the goal of modelling these interactions and eventually serve as gym environments for intervention optimization analysis. One bottle-neck of such models is the computational constraints. Realistic models with a sizable number of agents and interactions are unrealistic from the computational standpoint. Together with a group from MIT, we have been working on a framework called deepABM that uses the notion of convolution in a graph neural network architecture to model interactions between agents. By construction, these interactions can be parallelized and existing frameworks like Pytorch Geometric can be leveraged to efficiently implement realistic ABM models. This project is currently exploring such one implementation. <br> <br> View the preprint: <a href="#">[INSERT TITLE]</a></p> -->
<!-- <div class="section-header">
<h2 style="color: #191919">Publications</h2>
</div>
<p class="blue-underline">Javier Álvarez, Carlos Baquero, Elisa Cabana, Jaya Prakash Champati, Antonio Fernández Anta, Davide Frey, Augusto García-Agúndez, Chryssis Georgiou, Mathieu Goessens, Harold Hernández, Rosa Lillo, Raquel Menezes, Raúl Moreno, Nicolas Nicolaou, Oluwasegun Ojo, Antonio Ortega, Jesús Rufino, Efstathios Stavrakis, Govind Jeevan, Christin Glorioso. “Estimating Active Cases of COVID-19”, Aug. 2021. <a href="http://arxiv.org/abs/2108.03284">[PAPER]</a></p>
<br>
<p class="blue-underline">Rajat Jain, Utkarsh Gupta, Sethuraman TV, Rohan Sukumaran, Christin Glorioso MD PhD. "Analysis of Tata-1mg data for Covid-19 second wave prediction in India", Aug. 2021. <a href="https://www.researchgate.net/publication/353739305_Analysis_of_Tata-1mg_data_for_Covid-19_second_wave_prediction_in_India?channel=doi&linkId=610d5f201e95fe241ab450b2&showFulltext=true">[PAPER]</p>
<p class="blue-underline"></p> -->
</div>
</section>
<style>
.blue-underline a {
color: blue;
text-decoration: underline;
}
</style>
<!-- ======= Footer ======= -->
<footer id="footer">
<div class="container">
<div class="copyright">
© Copyright <strong>The Data Informatics Center for Epidemiology (DICE)</strong>. All Rights Reserved.
</div>
<div class="credits">
<!--
All the links in the footer should remain intact.
You can delete the links only if you purchased the pro version.
Licensing information: https://bootstrapmade.com/license/
Purchase the pro version with working PHP/AJAX contact form: https://bootstrapmade.com/buy/?theme=TheEvent
-->
Based off <a href="https://bootstrapmade.com/"
style="text-decoration: underline; color:white">BootstrapMade</a>
</div>
</div>
</footer><!-- End Footer -->
<a href="#" class="back-to-top"><i class="fa fa-angle-up"></i></a>
<!-- Vendor JS Files -->
<script src="assets/vendor/jquery/jquery.min.js"></script>
<script src="assets/vendor/bootstrap/js/bootstrap.bundle.min.js"></script>
<script src="assets/vendor/jquery.easing/jquery.easing.min.js"></script>
<script src="assets/vendor/php-email-form/validate.js"></script>
<script src="assets/vendor/venobox/venobox.min.js"></script>
<script src="assets/vendor/owl.carousel/owl.carousel.min.js"></script>
<script src="assets/vendor/superfish/superfish.min.js"></script>
<script src="assets/vendor/hoverIntent/hoverIntent.js"></script>
<script src="assets/vendor/aos/aos.js"></script>
<!-- Template Main JS File -->
<script src="assets/js/main.js"></script>
<!-- Flickity JS File -->
<script src="https://unpkg.com/flickity@2/dist/flickity.pkgd.min.js"></script>
</body>
</html>