Keunwoo Peter Yu
Scholar

Keunwoo Peter Yu

Google Scholar ID: wPIzAvEAAAAJ
Wayve
Multi-modal LearningEmbodied AINatural Language ProcessingVision-Language Models
Citations & Impact
All-time
Citations
74
 
H-index
5
 
i10-index
3
 
Publications
11
 
Co-authors
11
list available
Resume (English only)
Research Experience
  • Currently working as an Applied Scientist at Wayve, developing foundation models for autonomous vehicles; previously, a PhD student at the University of Michigan with research interests in multimodal models and embodied AI; before starting his PhD, he worked as a software engineer specializing in distributed, real-time systems.
Education
  • During his Ph.D. program at the University of Michigan, he focused on vision-language models for videos and their effective use in real-time, embodied settings.
Background
  • An applied scientist focusing on building foundation models for autonomous vehicles. Previously, a Ph.D. candidate at the University of Michigan, researching multimodal models and embodied AI.