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1<title>Research - Bo Zhao</title><meta name="description" content="Research interests and publications of Bo Zhao - Digital Health, NLP, and Medical Informatics"/><link rel="icon" href="/favicon.ico?favicon.24xmgplbmjk0d.ico" sizes="48x48" type="image/x-icon"/><link rel="icon" href="/icon.svg?icon.0c-lekartq_fi.svg" sizes="any" type="image/svg+xml"/>
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1</head><body class="antialiased"><div hidden=""><!--$--><!--/$--></div><div class="academic-layout"><aside class="academic-sidebar" aria-label="Profile and site navigation"><div><a class="academic-name" aria-label="Bo Zhao home" href="/">Bo Zhao</a><div class="academic-red-rule"></div><div class="academic-position-lines" aria-label="Current position"><span class="academic-position-highlight">Assistant Professor</span><span class="academic-position-highlight">Programme Director for MSc Social Computing</span><span>Academy of AI and Advanced Technology</span><span>Xi&#x27;an Jiaotong-Liverpool University</span></div></div><div class="academic-desktop-sections"><div class="academic-link-group" aria-label="Profile links"><a href="mailto:[email protected]" class="academic-small-link"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-mail" aria-hidden="true"><path d="m22 7-8.991 5.727a2 2 0 0 1-2.009 0L2 7"></path><rect x="2" y="4" width="20" height="16" rx="2"></rect></svg><span>Email</span></a><a href="https://scholar.google.com/citations?user=mTy0wqEAAAAJ&amp;hl=en" class="academic-small-link" target="_blank" rel="noreferrer"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-graduation-cap" aria-hidden="true"><path d="M21.42 10.922a1 1 0 0 0-.019-1.838L12.83 5.18a2 2 0 0 0-1.66 0L2.6 9.08a1 1 0 0 0 0 1.832l8.57 3.908a2 2 0 0 0 1.66 0z"></path><path d="M22 10v6"></path><path d="M6 12.5V16a6 3 0 0 0 12 0v-3.5"></path></svg><span>Google Scholar</span></a><a href="https://orcid.org/0000-0002-3799-9183" class="academic-small-link" target="_blank" rel="noreferrer"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-network" aria-hidden="true"><rect x="16" y="16" width="6" height="6" rx="1"></rect><rect x="2" y="16" width="6" height="6" rx="1"></rect><rect x="9" y="2" width="6" height="6" rx="1"></rect><path d="M5 16v-3a1 1 0 0 1 1-1h12a1 1 0 0 1 1 1v3"></path><path d="M12 12V8"></path></svg><span>ORCID</span></a></div><div class="academic-link-group"><p class="academic-section-label">Research areas</p><ul class="academic-area-list"><li>Digital Health and Medical Informatics</li><li>Natural Language Processing</li><li>Computational Social Science</li><li>Multimodal Social Media Analysis</li><li>Scientometrics and Knowledge Graphs</li></ul></div><nav class="academic-link-group" aria-label="Primary navigation"><a class="academic-small-link" href="/"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-house" aria-hidden="true"><path d="M15 21v-8a1 1 0 0 0-1-1h-4a1 1 0 0 0-1 1v8"></path><path d="M3 10a2 2 0 0 1 .709-1.528l7-6a2 2 0 0 1 2.582 0l7 6A2 2 0 0 1 21 10v9a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2z"></path></svg><span>Home</span></a><a class="academic-small-link" href="/about"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-user" aria-hidden="true"><path d="M19 21v-2a4 4 0 0 0-4-4H9a4 4 0 0 0-4 4v2"></path><circle cx="12" cy="7" r="4"></circle></svg><span>About</span></a><a class="academic-small-link" aria-current="page" href="/research"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-map" aria-hidden="true"><path d="M14.106 5.553a2 2 0 0 0 1.788 0l3.659-1.83A1 1 0 0 1 21 4.619v12.764a1 1 0 0 1-.553.894l-4.553 2.277a2 2 0 0 1-1.788 0l-4.212-2.106a2 2 0 0 0-1.788 0l-3.659 1.83A1 1 0 0 1 3 19.381V6.618a1 1 0 0 1 .553-.894l4.553-2.277a2 2 0 0 1 1.788 0z"></path><path d="M15 5.764v15"></path><path d="M9 3.236v15"></path></svg><span>Research</span></a><a class="academic-small-link" href="/publications"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewB
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1ox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.6" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-chevron-down academic-mobile-menu-chevron" data-open="false" aria-hidden="true"><path d="m6 9 6 6 6-6"></path></svg></button></div></aside><div class="academic-content"><main class="academic-main"><section class="academic-intro"><p class="academic-section-label">Research</p><h1>Evidence systems for health, language, and society.</h1><p class="academic-intro-note">My research develops data-driven methods for NLP, digital health, computational social science, multimodal analysis, and research evaluation.</p></section><section class="academic-section" aria-labelledby="research-areas-title"><p class="academic-section-label">Research areas</p><h2 id="research-areas-title" class="academic-section-heading">Current themes</h2><div class="academic-work-list"><article class="academic-work-row"><div class="academic-meta"><span>01</span><span>Clinical and patient signals</span></div><div><h2>Digital Health and Medical Informatics</h2><p>Creating integrative, data-driven frameworks for understanding and improving health through natural language processing and semantic analysis.</p><div class="academic-tag-list"><span class="academic-tag">Digital Twin Systems</span><span class="academic-tag">Wearables and Patient-Reported Outcomes</span><span class="academic-tag">Electronic Health Records</span><span class="academic-tag">Multi-omics Data Integration</span><span class="academic-tag">Personalised Healthcare</span></div></div></article><article class="academic-work-row"><div class="academic-meta"><span>02</span><span>Language evidence systems</span></div><div><h2>Natural Language Processing</h2><p>Developing advanced NLP techniques for extracting insights from clinical text, social media, and scientific literature.</p><div class="academic-tag-list"><span class="academic-tag">Clinical NLP</span><span class="academic-tag">Semantic Analysis</span><span class="academic-tag">Information Extraction</span><span class="academic-tag">Text Mining</span><span class="academic-tag">Knowledge Representation</span></div></div></article><article class="academic-work-row"><div class="academic-meta"><span>03</span><span>Public discourse and behaviour</span></div><div><h2>Computational Social Science</h2><p>Exploring how online discourse, visual culture, and behavioural signals reflect public perceptions and cultural narratives around health and society.</p><div class="academic-tag-list"><span class="academic-tag">Multimodal Social Media Analysis</span><span class="academic-tag">Public Health Discourse</span><span class="academic-tag">Cultural Narratives</span><span class="academic-tag">Behavioural Signals</span><span class="academic-tag">Visual Culture Analysis</span></div></div></article><article class="academic-work-row"><div class="academic-meta"><span>04</span><span>Reusable research infrastructure</span></div><div><h2>Data Standardisation and Integration</h2><p>Developing standards and frameworks for integrating diverse healthcare data sources into cohesive, actionable insights.</p><div class="academic-tag-list"><span class="academic-tag">Healthcare Data Standards</span><span class="academic-tag">Multimodal Data Integration</span><span class="academic-tag">Interoperability</span><span class="academic-tag">Data Quality</span><span class="academic-tag">Metadata Standards</span></div></div></article><article class="academic-work-row"><div class="academic-meta"><span>05</span><span>Research frontier mapping</span></div><div><h2>Scientometrics and Research Evaluation</h2><p>Using knowledge graphs and large-scale trend analyses to map interdisciplinary connections and identify emerging frontiers in digital health.</p><div class="academic-tag-list"><span class="academic-tag">Knowledge Graphs</span><span class="academic-tag">Research Trend Analysis</span><span class="academic-tag">Interdisciplinary Mapping</span><span class="academic-tag">Citation Networks</span><span class="academic-tag">Research Impact Assessment</span></div></div></article></div></section><section class="academic-section" aria-labelledby="research-method-title"><p class="academic-section-label">Method stack</p><h2 id="research-method-title" class="academic-section-heading">From heterogeneous signals to usable evidence</h2><p class="academic-intro-note">The work is designed around pipelines that can be explained, reused, and adapted across clinical, public, and institutional research settings.</p></section></main><!--$--><!--/$--></div></div><!--$!--><template data-dgst="BAILOUT_TO_CLIENT_SIDE_RENDERING"></template><!--/$-->
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