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<!DOCTYPE html>
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    <title>Precious Kolawole</title>
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            <a href="https://precillieo.github.io">Precious Kolawole</a>
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              <strong>Precious Kolawole</strong>
              Engineer, Shopify · Research Assistant, DSIH Lab<br>
              preciouskolawole[at]cmail[dot]carleton[dot]ca
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            <p>
              I'm an Engineer at <strong><a href="https://www.shopify.com/" target="_blank">Shopify</a></strong> on the Sidekick Assistant team, where I evaluate large language models and design human evaluation workflows. I also work as a Research Assistant at the <strong>Data Science for Interventional Healthcare (DSIH) Lab</strong> with <a href="https://people.scs.carleton.ca/~matthewholden/" target="_blank">Professor Matthew S. Holden</a>, building tracked spine ultrasound datasets and reconstructing 3D ultrasound volumes.
            </p>
            <p>
              I recently graduated with a Bachelor of Computer Science (Honours, AI/ML) from <strong><a href="https://www.carleton.ca/" target="_blank">Carleton University</a></strong> through the <a href="https://devdegree.ca/" target="_blank">Shopify Dev Degree program</a>. During my degree, I explored how deep learning segmentation could simplify ultrasound through the <a href="https://science.carleton.ca/students/undergraduate-student-summer-research-opportunities/black-and-indigenous-summer-research-internships/" target="_blank">NSERC Black and Indigenous Summer Research Internship</a>. Before that, at the <strong>Nesbitt Biology Lab</strong> with <a href="https://carleton.ca/sce/people/adler/" target="_blank">Professors Andy Adler</a> and <a href="https://carleton.ca/biology/people/jeff-dawson/" target="_blank">Jeff Dawson</a>, I developed methods to improve concussion diagnosis using video eye-tracking and ocular EMG.
            </p>
            <p>
              I began in Medical Rehabilitation at <strong><a href="https://www.oauife.edu.ng/" target="_blank">Obafemi Awolowo University</a></strong> in Nigeria and later pivoted to computer science. That clinical grounding shapes my career aspiration: to build data‑efficient AI workflows with clinician‑level reasoning for real‑world care.
            </p>
            <p>
              <strong>I am actively seeking PhD positions in healthcare AI, medical imaging, and medical physics, and am also considering MD‑PhD programs. If our research interests align, I would love to <a href="mailto:preciouskolawole@cmail.carleton.ca">hear from you</a>.</strong>
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                title="TEDx Talk: How Coding Can Change Your Life—and the World"
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              <p>
                Here I talk about how coding can change your life and how it starts from the mind. Growing up in Nigeria, I saw how the environment shapes thinking. The discipline of writing code, debugging, and following rules naturally trickles into reshaping things in your life. And neuroplasticity was fun: how learning to code forms new neural pathways. I referenced my article <a href="https://precillieo.medium.com/tech-took-me-out-of-the-ghetto-4ad3f884da04" target="_blank">"Tech took me out of the ghetto,"</a> but the ghetto here is the mind.
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          <h1 class="header-name">Publications</h1>
          <ul class="list">
            <li>
              <strong>Limited Paired Labels Suffice for Binary but Not Multiclass Ultrasound Segmentation</strong><br>
              <span>Precious Kolawole, Matthew S. Holden</span><br>
              <em>Imaging Network Ontario Symposium 2026 (ImNO 2026)</em> <span style="color: #28a745;">(Accepted for Oral Presentation)</span><br>
            </li>
            <li>
              <strong>Annotation Is (Almost) Indispensable: The Limitations of Unpaired Domain Translation and Semi-Supervised Approaches to Ultrasound Simplification</strong><br>
              <span>Precious Kolawole, Matthew S. Holden</span><br>
              <em>SPIE Medical Imaging 2026: Image-Guided Procedures, Robotic Interventions, and Modeling</em> <span style="color: #28a745;">(Accepted for Oral Presentation)</span><br>
              <a href="https://spie.org/submissions/approval/supplementalfile/031b3ce7-5f36-4548-ae4f-9d334122206f.pdf" target="_blank">[Paper]</a>
            </li>
            <li>
              <strong>Fairness-Aware Machine Learning for Social Bias Detection in Healthcare Research Datasets</strong><br>
              <span>Precious Kolawole</span><br>
              <em>Proceedings of Machine Learning Research (PMLR), Volume 302, Deep Learning Indaba 2025</em><br>
              <span>Poster & Oral Presentation, Deep Learning Indaba 2025, Dakar, Senegal</span><br>
              <a href="https://proceedings.mlr.press/v302/kolawole26a.html" target="_blank">[PMLR]</a>
              <a href="assets/Indaba_Poster.pdf" target="_blank">[Poster]</a>
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            <h1 id="news" class="header-name">Recent News</h1>
            <ul class="list">
              <li>
                <strong>[Feb 2026]</strong> Paper <em>"Limited Paired Labels Suffice for Binary but Not Multiclass Ultrasound Segmentation"</em> accepted for oral presentation at ImNO 2026.
              </li>
              <li>
                <strong>[Feb 2026]</strong> Paper <em>"Fairness-Aware Machine Learning for Social Bias Detection in Healthcare Research Datasets"</em> officially published in <strong><a href="https://proceedings.mlr.press/v302/kolawole26a.html" target="_blank">Proceedings of Machine Learning Research (PMLR)</a></strong>, Volume 302.
              </li>
              <li>
                <strong>[Dec 2025]</strong> Spoke on <strong><a href="https://thenewcomerspod.com/p/e135-precious-kolawole-has-learned" target="_blank">The Newcomers Podcast</a></strong> about immigration, coding, and the immigrant mindset. <a href="https://youtu.be/oHDTyWcLdC8?si=YOyU9OY5c5Lc0R7z" target="_blank">[YouTube]</a> <a href="https://open.spotify.com/episode/0NlGcEiUdrqZIBDqRBf7ye?si=r-r8Tp4eQQSP47a1CWha_Q" target="_blank">[Spotify]</a>
              </li>
              <li>
                <strong>[Nov 2025]</strong> Paper upgraded from poster to oral presentation at SPIE Medical Imaging 2026.
              </li>
              <li>
                <strong>[Oct 2025]</strong> Paper <em>"Annotation Is (Almost) Indispensable"</em> accepted to SPIE Medical Imaging 2026: Image-Guided Procedures, Robotic Interventions, and Modeling. <a href="https://spie.org/submissions/approval/supplementalfile/031b3ce7-5f36-4548-ae4f-9d334122206f.pdf" target="_blank">[Paper]</a>
              </li>
              <li>
                <strong>[Sep 2025]</strong> Joined <strong><a href="https://www.shopify.com/" target="_blank">Shopify</a></strong> full-time as an Engineer on the Sidekick Assistant team.
              </li>
              <li>
                <strong>[Aug 2025]</strong> Graduated with a Bachelor of Computer Science (Honours) from <strong>Carleton University</strong>.
              </li>
              <li>
                <strong>[Jun 2025]</strong> Featured on <strong><a href="https://newsroom.carleton.ca/story/ai-health-solutions/" target="_blank">Carleton University's newsroom</a></strong> for my AI and healthcare research.
              </li>
              <li>
                <strong>[Mar 2025]</strong> Named to <strong><a href="https://readthepeak.com/lists/emerging-leaders-2025/c/startups-and-tech" target="_blank">The Peak's 2025 Emerging Leaders</a></strong>, recognizing Canadian leaders under 40 shaping the economy and tech industry.
              </li>
              <li>
                <strong>[Mar 2025]</strong> Awarded the <strong><a href="https://science.carleton.ca/students/undergraduate-student-summer-research-opportunities/black-and-indigenous-summer-research-internships/" target="_blank">NSERC BISRI</a></strong> to continue research with Professor Matthew S. Holden.
              </li>
              <li>
                <strong>[Mar 2025]</strong> TEDx talk <a href="https://youtu.be/TQd3eGjaTOo?si=XNdYN1rMdjX22lH7" target="_blank"><strong>"How Coding Can Change Your Life—and the World"</strong></a> published on YouTube.
              </li>
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        <small><b>Last Updated:</b> January 2026</small>
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