Building human-AI systems so seamless people forget it’s AI.

I started in design and computer science at UC San Diego, where I worked in a research lab and began publishing on human-AI collaboration and collective intelligence. I wanted to know how design holds up against problems I couldn't predict, so I went to the research agency Mindswarms and ran studies for clients like Google, Amazon, Microsoft, Nike, and American Express.

I wanted to own a product and learn end-to-end shipping, so I built a couple of startups that got into incubator programs and joined Zelig as a product designer. I ran research to guide product decisions and strategy, and pitched our positioning to investors as the company raised a $15M Series A at a $100M valuation.

I came to Carnegie Mellon for a Master's in HCI to go deeper on research and get sharper at building what I design. The work from my lab showed real commercial potential, so we pitched it at CMU's most competitive startup competition and won first place and $150k. It has since picked up more awards, a spot in the VentureBridge incubator, and NSF backing.

Now I lead my capstone with Honda's 99P Labs and contribute to the UI for AI initiative. Augmenting the design process is the thread I keep pulling on: I TA'd a graduate course on it, and I'm working toward several papers, including ones on mapping the innovation landscape and augmenting designer workflows.

Looking ahead, I want to design the next paradigm for human-AI systems, turning big, ambitious ideas into real products by building and testing fast.