<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Jessica Li</title><link>https://jessicabli.github.io/</link><description>Recent content on Jessica Li</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://jessicabli.github.io/index.xml" rel="self" type="application/rss+xml"/><item><title>About</title><link>https://jessicabli.github.io/about/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://jessicabli.github.io/about/</guid><description>&lt;p&gt;I&amp;rsquo;m a Computer Science PhD student at the University of Michigan in Ann Arbor, currently interested in researching
how digital health tools can better improve and understand reproductive health outcomes.&lt;/p&gt;
&lt;p&gt;My research interests stemmed from participating in an REU at Texas State University advised by Prof. John Farrell and Prof.
Damian Valles, where I worked on creating a severity assessment tool to classify gait for people with multiple sclerosis. This
experience also led me to join HABits Lab at Northwestern, where I worked under Dr. Farzad Shahabi on projects analyzing eating
behavior through wearable and smartphone collected data.&lt;/p&gt;</description></item><item><title>Curriculum Vitae</title><link>https://jessicabli.github.io/cv/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://jessicabli.github.io/cv/</guid><description>&lt;embed src="https://jessicabli.github.io/CV_JessicaLi.pdf" type="application/pdf" width="100%" height="800px"&gt;</description></item><item><title>Publications</title><link>https://jessicabli.github.io/publications/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://jessicabli.github.io/publications/</guid><description>&lt;h2 id="2026"&gt;2026&lt;/h2&gt; &lt;div class="pub-item"&gt;
 &lt;img src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" class="pub-thumb"&gt;
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 &lt;div class="pub-title"&gt;Toward Scalable Dietary Assessment: Linking Hand-to-Mouth Gestures with Caloric Intake Across In-Lab and Free-Living Settings&lt;/div&gt;
 &lt;div class="pub-authors"&gt;Farzad Shahabi, Soroush Shahi, Bonnie Nolan, &lt;b&gt;Jessica Li&lt;/b&gt;, Ahsan Adil, Christopher Romano, Glenn Fernandes, Angela Pfammatter, Annie Lin, Nabil Alshurafar&lt;/div&gt;
 &lt;div class="pub-venue"&gt;Annals of Behavioral Medicine, 2026&lt;/div&gt;
 &lt;!-- &lt;div class="pub-links"&gt;&lt;a href="https://example.com"&gt;PDF&lt;/a&gt; · &lt;a href="https://example.com"&gt;Code&lt;/a&gt;&lt;/div&gt; --&gt;
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&lt;h2 id="2025"&gt;2025&lt;/h2&gt; &lt;div class="pub-item"&gt;
 &lt;img src="https://jessicabli.github.io/papers/Overeating_Thumbnail.png" class="pub-thumb"&gt;
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 &lt;div class="pub-title"&gt;A Multimodal AI-Enabled Framework for Characterizing Overeating Behaviors and Consumption Patterns&lt;/div&gt;
 &lt;div class="pub-authors"&gt;Farzad Shahabi, &lt;b&gt;Jessica Li&lt;/b&gt;, Chris Romano, Rowan McCloskey, Glenn Fernandes, Mahdi Pedram, Jacob Schauer, Tammy Stump, Nabil Alshurafa&lt;/div&gt;
 &lt;div class="pub-venue"&gt;IEEE International Conference on Body Sensor Networks (BSN), 2025&lt;/div&gt;
 &lt;div class="pub-links"&gt;&lt;a href="https://jessicabli.github.io/papers/Characterizing_Overeating_Behaviors.pdf" target="_blank"&gt;PDF &lt;/a&gt;&lt;/div&gt;
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&lt;h2 id="2024"&gt;2024&lt;/h2&gt; &lt;div class="pub-item"&gt;
 &lt;img src="https://jessicabli.github.io/papers/MultipleSclerosis_Thumbnail.png" class="pub-thumb"&gt;
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 &lt;div class="pub-title"&gt;Data Augmentation for Classifying Multiple Sclerosis Severity through Inertial Measurement Unit-Based Gait Analysis&lt;/div&gt;
 &lt;div class="pub-authors"&gt;&lt;b&gt;Jessica B Li&lt;/b&gt;, John W Farrell, Damian Valles&lt;/div&gt;
 &lt;div class="pub-venue"&gt;IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024&lt;/div&gt;
 &lt;div class="pub-links"&gt;&lt;a href="https://jessicabli.github.io/papers/Classifying_Multiple_Sclerosis_Severity.pdf" target="_blank"&gt;PDF&lt;/a&gt;&lt;/div&gt;
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