Computer Science B.S. and M.S. @ Stanford University

Research Intern @ Google Research

zixianma [at] cs.stanford.edu

I graduated from Stanford with B.S. (Honors) and M.S. degrees in Computer Science, where I did research in the Stanford Vision and Learning Lab and HCI group with the wonderful Prof. Ranjay Krishna, Prof. Michael Bernstein, and Prof. Fei-Fei Li.

My past projects cover multi-agent coordination, large language and vision models, and human-computer interaction. My current research interests lie in the intersection between AI/ML and HCI, especially human-AI interaction and collaboration. I'm broadly interested in these research questions:

  • Human side: what do end users need when collaborating with AI? How can we make explanations helpful (if possible) in human-AI collaboration?
  • AI/ML side: how do we develop ML models that can adapt to diverse user needs and behaviors?
  • Interaction: what human-AI interactions are possible? How can we leverage interaction data to inform model design and development?

Recent highlights

Selected publications



Sex Academy
Personalized sex education with stories.

Sex Academy is a platform that provides a safe and healthy space for students and parents to access customized sex education content recommendations, and peer story-sharing of lived experiences.

Website Figma

Hungry24 is a multi-puporse application hosted on Wechat mini-app platform that aims to encourage participants to accept a 24-hour hunger challenge. It's a collaborative fundraising effort with China Foundation for Poverty Alleviation to alleviate starvation for Ethiopian children.

Code PDF Article
Auto waste classification based on object detection.

FeedMe is a smart garbage classification and collection device developed at the X Academy 2018 hackathon. It was ranked the second place and won $10K funding.

Code PDF

Dance videos

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