Scroll to see My Growing Path
“Looking back, this journey is filled with moments of growth, challenges overcome, and valuable lessons learned. Each step has shaped who I am today.”
2025.4
Visiting Scholar @ NUS
2024.2
Move to Boston to immerse myself in the amazing academic atmosphere
2023.12
Graduated with Master's degree in Bioengineering @ UCLA
2022.12
Started Research Assistant position @ CSUN and @ Terasaki Institute for Biomedical Innovation (TIBI)
2022.3
Graduated with double Bachelor’s degree in Neuroscience and Statistics @ UCLA
2019.8
Joining International Family Union (IFU) Project TotoRoad, leading a team of brilliant teaching associates to tutor international students
2018.9
Becoming a Bruin! Go Bruins!!!
2018.6
Accepted by UCLA! Graduated top of the class from Liaoning Province Shiyan High School
2016.8
Attended my first academic conference and delived my first public speech on the stage of the International Genetically Engineered Machine (IGEM) competition
2015.9
Beginning my teaching career, starting with teaching chemistry lessons for my peers
2000.6
Born in the beautiful city of Shenyang, China
Hello, I'm Chenshu Liu (Chen)
"AI and biomedical science can speak the same language—I'm here to make that conversation happen."
I am a neuroscientist 🧠 and statistician 📊 in mind, an engineer ⚙️ at hand, and an artist/photographer 📷 at heart. I am a curious innovator exploring AI integration in Health Science & Humanities, merging computer science, medical engineering, heritage science, neuroscience, etc.
I am currently a visiting scholar at Liu Lab at National University of Singapore (NUS), supervised by Professor Yuxin Liu, working on soft wearable devices for continual biomarker monitoring
I am also a researcher at Terasaki Institute, working on wearable biomedical devices and interfaces to integrate AI components in medicine to foster a smart-healthcare ecosystem, supervised by Professor Yangzhi Zhu, as well as on AI in immunology, supervised by Professor Chongming Jiang.
I also serve as a technical consultant for the Smart Textile group led by Professor Wei Cao at ARCS on evaluating robustness of wearable smart textiles from the lens of consumer aspects.
Previously, I held a research fellow appointment at Laboratory for Smart and Additive Manufacturing at CSUN, working on AI applications in additive manufacturing (AM) and deploying knowledge-graph driven methods for efficient human machine interaction in AM process, supervised by Professor Bingbing Li.
I did my Masters in Bioengineering and a dual bachelor’s in Neuroscience and Statistics at University of California, Los Angeles (UCLA).
Topics of Interest
My research interests focus on creating a synergy between human and AI, applying interdisciplinary technology to enhance well-being both physically and spiritually. I come up with engineering innovations to increase the accessibility and intuitiveness of human-AI interaction in both healthcare applications and societal enrichments.
I have cultivated a broad range domain experiences, spanning both natural sciences and humanities. I am proficient in developing AI algorithms diverse application scenarios. The wordcloud below shows the span of my projects, fields of expertise, and techniques.
I propose to incorporate knowlege-enhanced multidomain AI as decision support agents. I am interested in constructing reliable knowledge bases (KB) and knowledge graphs (KG) for decision supports with high interpretability and explainability in complex decision processes. I am interested in leveraging advanced sensing technologies to create a comprehensive profile of the subject of interest. By integrating these descriptive inputs and combining them with domain-specific knowledge, I aim to enable more informed and context-aware reasoning, whether for enhance patient well-being or restoring an artifact. Through the unification of sensor data and expert knowledge, I seek to enhance the overall decision-making process. I envision working with people from different fields of expertise that can potentially benefitted from AI-aided decision supports and integrate with reliable and efficient pipelines in their workflow.
I’m also interested in rethinking the role of AI in emotion support via affective computing and multi-sensor fusion, to enable creativity and self-reflection through the most natural form of personal expression and the most realistic day-to-day behaviors, which gave rise to the on-going Posture2Melody project. In the project, I propose to use generative AI, alongside with different modalities of physiology and psychology tracking, as the mirror onto our own understanding of music, lowering the bar for expression. This framework invites us to consider how AI can perceive and make-sense of human emotion overtime, enabling AI agents to deliver responses appropriately aligned with the user's emotional state.