Raayan Dhar

I am an undergraduate studying Computer Science with a concentration in Electrical Engineering at the University of California, Los Angeles. Currently, I do research on robotics. Last summer I was a software development intern at Amazon. Far before that, my interest in computer science stemmed from a summer working on Monte-Carlo simulations at the Paegal Lab.

Interests

These days, I'm most interested in robot learning, namely imitation learning. However, my interests are in machine learning broadly, and any of the following is especially exciting to me

• Diffusion and other generative models
• Vision, machine or otherwise
• Safety, broadly defined

Currently, I am advised by and work with Yuchen Cui on robot learning at URIL. Previously, I worked with Yihan Wang on LLM safety. Over summer 2024, I worked at Amazon (San Diego, CA) on their low-latency risk evaluation service.

UCLA

At UCLA, I'm a board member and run fellowships for AI Safety at UCLA. Academically, most of my coursework thus far has been in the electrical engineering and computer science departments. Some personal favorites include:

• ECE133A: Applied Numerical Computing (F23, site)
• ECE149: Foundations of Computer Vision (W24, site)
• PHIL31: Logic, First Course (W24)
• ECE231E: Channel Coding Theory* (S24)
• CS180: Introduction to Algorithms and Complexity (F24)

An asterisk indicates graduate-level coursework. A full list of coursework can be found elsewhere.

Writing

Coming soon, stay tuned :)

Contact

You can reach me at (first+last, all lowercase) [at] g [dot] ucla [dot] edu. Check out my projects on my Github and see what I'm up to on Twitter.

Credit

Credit for the inspiration and design of this website goes to Brandon Wang who himself was inspired by Ankur Moitra's website. The picture above the navigation bar is a detail of a tile mosaic at La Alhambra, located in Granada, Spain. The other images are due to M.C. Escher.