JOEL ROMERO-HERNÁNDEZ

My research focuses on the modeling and control of complex systems, especially for biomedical applications. I majored in Biomedical Engineering at Universitat Pompeu Fabra (UPF) in 2022 (Barcelona, Spain). In 2023, I completed an MRes in AI and Machine Learning at Imperial College London with the support of a "la Caixa" Foundation fellowship (London, United Kingdom). There, I researched the use of distributional reinforcement learning to improve pharmacological interventions in intensive care.

During my undergraduate studies, I pursued internships at Attune Neurosciences Inc. (Menlo Park, United States), the Dynamical Systems Biology Lab @ UPF, and the Translational Synthetic Biology Lab @ UPF to study neurological diseases and antibiotic resistance using computational models.  Before that, I completed summer internships at the Massachusetts Institute of Technology (Cambridge, United States) in 2017 and at the Weizmann Institute of Science (Rehovot, Israel) in 2018, both focused on the molecular biology of complex diseases.

Currently, I am pursuing a PhD with the support of a Joan Oró research grant. As part of the Physense research group (BCN MedTech) and the ICREA-Complex Systems Lab, I investigate topics including causal modeling, partial observability, multi-objective optimization, learning without exploration, the credit assignment problem, artificial intelligence safety, and meta-learning for medical decision-making.