I am Adrián Rodríguez-Muñoz, a 3rd year grad student at MIT EECS under the supervision of Prof. Antonio Torralba. My research focuses on learning how to use all data effectively, such as low-quality and out-of-distribution data in generative models, and even non-realistic procedurally generated data in vision models. Previously, I worked on efficient adversarial robustness. I am currently doing an internship at Amazon Research, working on retrieval augmented generation (RAG) with diffusion models.

Prior to my PhD, I studied Mathematics and Data Science and Engineering at CFIS-UPC until 2022. During my undergrad, I did internships at the Barcelona Supercomputing Center, the biotech company ZeClinics, and the finance firms Aspect Capital (London) and Susquehanna International Group (Dublin).

Click here for my CV.