Aryan Arbabi

About Aryan Arbabi

I\'m currently leading Nuro\'s LAMBDA project, where we develop Multimodal LLMs to act as reasoning engines of autonomous vehicles. These models have the potential to transform the way AVs plan and make decisions, due to their remarkable ability in handling uncommon road situations (long tails).Prior to this I worked on various projects related to ML-based AV planning and prediction. These included developing a new transformer-based architecture that has become the backbone of Nuro\'s planning and prediction models, developing models for conditional prediction, and active learning.Before entering the AV/Robotics domain, I was a PhD student at University of Toronto, where my research looked at how machine learning, language understanding, and knowledge graphs can come together to facilitate medical diagnosis.

Experience

1. Staff Ml Research Scientist

   Nuro

   Dec 2024 — Present

   Leading the Lambda project - training Multimodal LLMs for real-time reasoning and planning in long-tail driving situations

Education

• University of Toronto

  Doctor of Philosophy (PhD), Computer Science

• Sharif University of Technology

  Bachelor's Degree, Computer Engineering

• University of Toronto

  Master's Degree, Computer Science

Skills

• Deep Learning
• C
• Programming
• Artificial Intelligence
• Linux
• Computer Science
• Machine Learning
• Matlab
• R
• Computational Biology
• C++
• Natural Language Processing
• Algorithms
• Bash
• Bioinformatics
• Data Structures
• Medical Informatics
• Tensorflow
• Software Engineering
• Java
• Python
• Latex