About me

I am a postdoctoral researcher at the Probabilistic Machine Learning Group, under the supervision of Prof. Isabel Valera, working on interpretability, probabilistic generative modeling, and representation learning.

In 2024, I completed my Ph.D. in Probabilistic Machine Learning applied to Personalized Medicine and Genetics with honors (cum laude) at UC3M, under the supervision of Assoc. Prof. Pablo M. Olmos. During my Ph.D., I also worked as a predoctoral researcher at the Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM) under the supervision of Dr. Carolina Martínez-Laperche, supported by the Intramural Grant, working on personalized medicine problems such as biomarker discovery for post-transplant complications after stem-cell transplantations, biomarker discovery for Chimeric Antigen Receptor (CAR) T-cell therapy complications, risk stratification in Acute Myeloid Leukemia (AML) patients.

My research mainly focuses on developing probabilistic machine learning methods for representation learning and dimensionality reduction, particularly in analyzing complex, high-dimensional data with continuous and discrete Variational Autoencoders. Throughout my Ph.D., I combined fundamental and applied research, aiming to bridge the gap between machine learning advancements and real-world clinical applications. This approach allowed me to tackle medical challenges while contributing to machine learning methodology. Now, my focus is on further improving these methods to develop models that are flexible, interpretable and robust.

News!

Contact

If you want to contact me, please send me an email to martinez-garcia@cs.uni-saarland.de.