About me
I am a Graduate Student in Computer Science at the University of Illinois Urbana–Champaign, where I specialize in artificial intelligence, machine learning, and computational neuroscience. My academic journey began at Mount Holyoke College, where I earned a B.A. in Computer Science and Experimental Psychology (Cum Laude).
My passion lies at the intersection of AI, neuroscience, and human–computer interaction. I have developed and published research in natural language processing, trustworthy AI, and VR-based behavioral studies, with applications ranging from healthcare to sustainability. Beyond research, I enjoy building full-stack systems, cross-platform applications, and AI-powered tools that bridge the gap between cutting-edge theory and real-world impact.
I aspire to advance responsible and interpretable AI systems that not only enhance user experience but also deepen our understanding of human cognition.
What i'm doing
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Full-Stack Development
Expertise in creating robust front-end and back-end systems using React, Django, and SQL.
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AI & Research
Skilled in developing AI models and conducting research in NLP, computer vision, and VR.
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Web development
High-quality development of sites at the professional level.
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Mobile App Development
Experience building cross-platform apps using React Native and Swift for iOS and Android.
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Photography
I make high-quality photos of any category at a professional level.
Endorsements
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Doris Chi, MPH candidate @ Yale
I have been collaborating with Shane on multiple Psychoneurology and Healthcare system projects over the past two years. The rigorousness she took when approaching research, her outstanding analytical abilities and solid coding skillsets, combined with her exceptional work ethic, made her a wonderful collaborator and exemplary junior researcher.
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Dr. Mohammad Nasim, Senior IT Solution Architect @ State of Rhode Island | Adjunct Professor Machine Learning @ Northwood University | GIS Expert
Shane has been an exceptional co-author and collaborator, bringing a unique blend of technical expertise and innovative thinking to our research projects. Her contributions to our work on AI-powered models for real-time fraud detection have been transformative, driving both theoretical advancements and practical applications. What sets Shane apart is not only her deep knowledge of machine learning and software engineering but also her ability to communicate complex concepts clearly and collaborate effectively with multidisciplinary teams. It has been a privilege to work with Shane, and I am excited to see the incredible impact she will continue to make in the field.
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Angie Yin
Shane's technical expertise and collaborative spirit made them a key contributor to the success of our Hackathon project. A true team player with a knack for creative solutions.
