I am Adrián Rodríguez-Muñoz, a 3rd year grad student at MIT EECS under the supervision of Prof. Antonio Torralba. My research focuses on procedurally generated data and efficient adversarial robustness. My goal is to help create intelligent visual systems that:

1. Make decisions on personalized private data without additional training and ideal (k=1) data compartmentalization.
2. Provide counterfactual explanations grounded on common-sense visual similarity.
3. Are robust to adversarial conditions.

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.