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Jadelynn Dao
PhD Student
Jadelynn Dao is a PhD student in Computer Science at Stanford, working with Prof. Marco Pavone. She is broadly interested in developing techniques that bridge the gap between low-level perception and high-level decision-making for autonomous, embodied AI.
Prior to Stanford, she completed her BS in Computer Science at the California Institute of Technology, where she focused on multimodal representation learning and real-time wearable sensor algorithms for interpreting noisy time-series data with Wei Gao. She has also interned with machine learning teams at Apple and Google, building data fusion models for sensing across their device ecosystems, and was a research intern at NASA's Jet Propulsion Laboratory.
Awards
- NSF Graduate Research Fellowship, 2025
- Stanford EDGE Fellowship, 2025