About
I am a researcher specializing in Visual Analytics, Information Visualization, and Human-Computer Interaction (HCI), with a focus on designing tools that enable broader participation in data analysis and visualization. My work explores how interfaces can support users with varying levels of visualization literacy and how visualization can be integrated with AI-driven workflows.
I earned my Ph.D. in Computer Science from Stony Brook University under the supervision of Prof. Klaus Mueller's at the Visual Analytics and Imaging Lab. My dissertation investigated interface designs that lower barriers to visualization, and throughout my academic career I have authored several peer-reviewed publications and received two best paper awards.
In addition to academic research, I have applied these ideas in startup contexts. As a co-founder of 12bit AI, I developed synthetic medical imaging data to support AI-driven healthcare solutions, contributing to interface design, AI-guided workflows, and business development. Previously, as a Founding Software Engineer at Akai Kaeru, I helped build a no/low-code visual data science platform for high-dimensional data, integrating methods from Data Science, Visual Analytics, and HCI to create accessible, user-centered tools.
My expertise spans Visual Analytics, Data Visualization, AI, and Human-Computer Interaction, supported by technical skills in React.js, Python, R, and cloud platforms such as AWS and Google Cloud.
Projects
Patterns of Social Vulnerability
An interactive dashboard to explore risk patterns to public health at the US County Level.
A special type of infographic that embeds data into a contextual image and an intuitive tool to create them.
Visual Anaysis of Dominance Hierarchies
An interactive visual analytics tool to study dominance hierarchies by investigating interaction sequences.
A framework that allows users to store and share the states of visual analytics dashboards through a blockchain.
Publications
- All
- Journal
- Conference
- Workshop
- Poster
