Jadelynn Dao

I am a second-year Computer Science PhD student at Stanford University, advised by Prof. Marco Pavone and Prof. Jiajun Wu, and affiliated with NVIDIA Research (GEAR). I am broadly interested in developing techniques that bridge low-level perception and control with high-level decision-making for autonomous, embodied AI.

Previously, I completed my undergrad at the California Institute of Technology, where my research at the Gao Research Group focused on multimodal representation learning and real-time wearable sensor algorithms that generalize across modalities and platforms. I also interned with ML teams at Apple and Google, building novel sensor fusion models across their suite of devices.

I am fortunate to be supported by the NSF GRFP and a Stanford Graduate Fellowship. I also was a venture capital fellow with Pear VC, where I developed a passion for growing the AI + deeptech ecosystem and translating research into scalable companies.