Jadelynn Dao

I am a first-year PhD student in Computer Science at Stanford! Currently, I am rotating within the Stanford AI Lab and the Stanford Robotics Center. I am broadly interested in developing techniques that bridge the gap between low-level perception and high-level decision-making for autonomous, embodied AI.

Previously, I completed my undergrad at Caltech, where I focused on multimodal representation learning and real-time wearable sensor algorithms to interpret noisy time-series data at the Gao Research Group. I also interned with ML teams at Apple and Google, building novel data fusion models for sensing across their suite of devices.

I am fortunate to be supported by the NSF Graduate Research Fellowship and a Stanford Graduate Fellowship. I also am a venture capital fellow with Pear VC, where I am particularly passionate about supporting the AI + deeptech ecosystem and translating research into scalable companies.