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Welcome! I am a fourth-year Ph.D. student in the Ubiquitous Computing Lab at the University of Washington, advised by Vikram Iyer and Shwetak Patel.

My research right now focuses on two broad themes:

  1. Health Sensing: Wearables and mobile phones generate a huge number of signals that have been shown to correlate with different outcomes. Unfortunately, real-world data is incredibly messy, so we need more robust techniques that can provide practical levels of accuracy in spite of noisy and missing data. I tackle this at many different scales, from directly investigating PPG in animal models to developing agentic AI systems capable of drawing personalized insigths across multiple modalities simultaneously.

  2. Conversational AI: Enabling low-latency, accurate, efficient, and natural-feeling interaction with conversational agents often requires making sacrifices in one or more of these aforementioned areas. I investigate how we can overcome these tradeoffs through clever system design, with a particular focus on maximizing the potential of on-device models.

Although they aren't my main focus right now, I've also done quite a bit of work developing low-power and/or battery-free embedded systems and robots, as well as strategies to improve the sustainability in the electronics industry.

If anything I'm working on seems interesting to you, please get in touch!

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