Fiona Zhou

Fiona Zhou

AI product builder and Georgia Tech computer science graduate student developing applied AI systems, intelligent web platforms, and data-driven tools across healthcare, scientific computing, and community applications.

Fiona Zhou

AI Product Builder - Tech Founder - M.S. in Computer Science @ Georgia Tech

I build AI-powered products and practical machine learning systems across healthcare, scientific computing, and community information platforms. My work combines engineering, research, and human-centered design to turn complex workflows into intuitive user experiences.

CV / Research / Projects / Contact

Focus Areas

Applied AI Systems

Building practical machine learning and multimodal AI workflows for real-world applications, including prediction, automation, and intelligent user interfaces.

Healthcare and Biosignal Interfaces

Developing ECG monitoring demos, health data visualization systems, and AI-assisted decision-support experiences for clinician and patient interaction.

AI Products and Web Platforms

Designing full-stack web applications and community-focused digital platforms with an emphasis on usability, accessibility, and mobile-first experiences.

Scientific Computing and Materials Research

Applying computational analysis and data-driven methods to smart textiles, nanomaterials, and performance-focused engineering problems.

Current Work

Georgia Tech - M.S. in Computer Science

2025-2027

MimiLoom

Building AI-powered products spanning personalized storytelling systems, community information platforms, and intelligent workflow automation.

Independent AI and Product Development

Developing applied AI systems, interactive web tools, and end-to-end software projects combining machine learning, engineering, and user-centered design.

Selected Projects

Short Bio

I hold a Ph.D. from North Carolina State University and currently pursue graduate studies in computer science at Georgia Tech. My background combines scientific research, data science, and software development. I am especially interested in systems that make technical information more understandable, trustworthy, and actionable.

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