Welcome! I'm Trevor Standley, a computer scientist with a passion for artificial intelligence and machine learning. I specialize in multi-task and multi-modal learning, as well as large language models (LLMs) and computer vision models.

I began my academic journey at UC Berkeley, graduating in 2008 with a BS in Electrical Engineering and Computer Sciences. I continued my studies at UCLA, earning an MS in Computer Science in 2010 and receiving the department's Outstanding Masters Student award. After graduating, I spent five years at Google in Los Angeles (2010 to 2015), working on projects involving natural language processing (NLP) and intelligent bidding agents.

In 2015, I left my wonderful job at Google to pursue a PhD at Stanford University. I joined the Stanford Vision and Learning Lab. I recently graduated from Stanford with a PhD in artificial intelligence and am excited to start the next chapter of my journey.

While my primary focus is machine learning, my research also explores heuristic search, automated reasoning, and programming languages. I invite you to visit my Publications page where you can access my papers, presentations, datasets, and the code that has been integral to my research.