Hello! I am a final year undergraduate student at Stanford University (Class of 2024), pursuing a B.S. in Symbolic Systems with a minor in Mathematics and a coterminal M.S. in Computer Science. I conduct research with Stanford’s IRIS Lab which studies intelligence through robotic interaction at scale, affiliated with the Stanford Artificial Intelligence Laboratory (SAIL) and Stanford Machine Learning Group. I am fortunate to be mentored by Professor Chelsea Finn, Suraj Nair, and Annie Xie.

My research interests span robotics, machine learning, and computer vision. I’m interested in enabling robots to learn generalizable representations from diverse datasets, and refine them through interaction for performing complex tasks in the real world. I’m especially interested in:

  1. Visual pretraining and representation learning: Enabling robots to harness skill and object representations for downstram tasks, potentially leveraging large pretrained models.
  2. Interactive learning from multimodal data: Facilitating human-compatible robot behaviors by enabling robots to process multimodal inputs and feedback.
  3. Continual data collection and learning: Improving methods for continually acquiring in-domain data and skills with limited supervision for novel environment adaptation.

Inspired by my interdisciplinary coursework, I am drawn to research leveraging concepts in cognitive science for robot learning and visual understanding. I aim to better understand human cognitive processes, such as multimodal perception, curiosity, and interactive learning, to develop human-inspired learning algorithms for robotics.

If any of the above sounds interesting to you, I would love to hear from you! Feel free to reach me at oliviayl [at] stanford [dot] edu.