Ross Greer

I lead the Mi³ Lab (Machine Intelligence, Interaction, and Imagination) at UC Merced. My research applies computer vision and AI to enable safe autonomous driving. I focus on building systems that can handle the unpredictable nature of real-world driving: quantifying uncertainty, responding robustly to rare events, and ensuring safety when humans and machines must collaborate.

Core research themes include:

• Uncertainty quantification in learning systems
• Robustness against rare events and open-world scenarios
• Safety in human-interactive systems
• Data curation and utility optimization

I received my Ph.D. from UC San Diego, where I was supervised by Mohan Trivedi at the Laboratory for Intelligent & Safe Automobiles (LISA). I also collaborated with Shlomo Dubnov through the Center for Research in Entertainment & Learning (CREL), exploring the intersection of AI and music and co-authoring the textbook Deep and Shallow: Machine Learning in Music and Audio. See more of my music and AI work.