Rodrigo Oliver周毅安

PhD Student, University Carlos III of Madrid

Signal Processing GroupDepartment of Signal Theory and Communications

Jointly supervised by Pablo M. Olmos and Alejandro Lancho.

Rodrigo Oliver

My research is at the intersection of machine learning, signal processing, and statistical modeling. Current interests include learning and inference for communication and distributed sensing systems, and generative and foundation models for complex signals, including behavioral and physiological data. The aim is to develop mathematically grounded methods that are carefully evaluated and useful under real-world constraints.

他山之石,可以攻玉

There are other hills whose stones Are good for working jade.