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Researchers across the AI stack, working together to expand AI’s benefit to society.
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AI Stack Expertise
- Model Architectures
- Training Methods
- Data Pipelines
- Evaluation Frameworks
- Systems Infrastructure
- Physical Systems
Real-World Impact
- Science
- Computing
- Engineering
- New Technologies
Filter by AI stack expertise
Showing 8 researchers
Danna GurariAssociate ProfessorComputer Vision · Multimodal AI · Human-AI Interaction · Accessibility (opens Danna Gurari’s website in a new tab)
Brad HayesAssociate ProfessorHuman-Robot Collaboration · Explainable AI · Robot Learning · Human-Robot Interaction (opens Brad Hayes’s website in a new tab)
Chris HeckmanAssociate ProfessorPerception · Autonomy · Robotics · Computer Vision (opens Chris Heckman’s website in a new tab)
James MartinProfessorComputational Linguistics · Natural Language Processing · Semantics · Cognitive Science (opens James Martin’s website in a new tab)
Esther RolfAssistant ProfessorGeospatial ML · Environmental Monitoring · Remote Sensing · Fairness (opens Esther Rolf’s website in a new tab)
Alessandro RonconeAssociate ProfessorHuman-Robot Interaction · Robot Control · Planning · Humanoid Robotics (opens Alessandro Roncone’s website in a new tab)
Alvaro VelasquezAssistant ProfessorNeuro-Symbolic AI · Autonomy · Foundation Models · Data Efficiency (opens Alvaro Velasquez’s website in a new tab)
Mark ZhaoAssistant ProfessorML Systems · Infrastructure · Scalability · Data Systems (opens Mark Zhao’s website in a new tab)