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I'm a product designer and creative technologist. I turn data-dense domains into intuitive experiences and visual stories — weather intelligence, environmental monitoring, geospatial analytics. I've worn a lot of hats along the way: urban designer, GIS analyst, frontend engineer, and data journalist.
• Design experience across climate tech, geospatial platforms, and editorial data visualization.
• Comfortable across the stack: data viz, motion and interaction, frontend code, and urban analytics.
• I hold M.S. in Computational Design Practices at Columbia University, where I received a School-Wide Visualization Award in for novel use of media in data visualization.
• Architecture/design background, tech-fluent — bring creativity & craft to engineering and data rigor & structure to design.
My design approach starts from the high-level point of view as possible, daring to take risks and explore every possibility—even "wild", “outlandish”,"extreme" ideas—to get people talking to inspire creativity. I then incorporate human insights and data to refine these concepts, ultimately crafting high-fidelity designs and animations that bring the vision to life.
I'm drawn to all things creative and human-made — art galleries, museums (the Met weekend date nights and the Whitney free Fridays are my go-tos), Broadway musicals and theater (Cabaret and Hadestown are my favs), and hunting down hidden gems around the city, whether that's a great Top50 bar or a hole-in-the-wall spot.




Begining with art...
Art and painting has also been my hobby since I was a kid. I received art training for over 10 years for gouache painting and sketching. I also did a summer school at UAL(University of Art London). I enjoy painting as it is a great way to observing the our world!




Architecture sharpened my eye for craft and aesthetics...
With years of design training at architecture school, I developed extreme attention to details, an eye for craft and aesthetics, and hands-on skills in model making and 3D prototyping.




Transition to tech & data...
At Columbia GSAPP, I moved into coding, data science, and product design & engineering. I learned the stack — Python, JavaScript, D3, React, GIS — and, more importantly, learned how to use it: building data-driven prototypes, telling stories with maps and motion, and iterating fast based on what real users do.



