I'm Kimi Chen, a Data Science and Applied Mathematics double major at UC San Diego, minoring in Cognitive Science. I've been programming since middle school and have spent the last few years exploring the intricacies of machine learning, with a particular interest in computer vision and reinforcement learning.
My journey into AI began with building deep learning models for fake news detection in high school. Since then, I've led web and ML projects, including leading the development of saliency models and a whole computer vision pipeline at Triton UAS. I also work in Professor Zhiting Hu's lab where we are building novel world models to help machines understand and interact with their environments more intelligently.
I like building things that feel meaningful, tools that make sense, models that generalize, ideas that stick. I'm someone who thinks a lot (maybe sometimes too much), and I'm always trying to balance technical work with the bigger picture of how people interact with the stuff we create.
And if you're wondering, yes, I was named after Kimi Räikkönen, the Formula 1 driver. Even though I'm not nearly as fast or cool, but hey, I do speak for more than two words at a time though!