• I am a research associate at Heart & Lung Research Institute, University of Cambridge. I am currently developing infection models for lung-on-chip in a joint project between Prof. Clare Bryant, Prof. Andres Floto and Dr Pietro Cicuta.
• My research interest lies broadly in the intersection between machine learning models, causal inference, and infectious diseases. I dig into complex datasets to find meaningful patterns, which I then convey using the power of metaphor and aesthetic visuals.
• I recently completed my PhD at Flotolab where I employed cutting edege microfluidic devices coupled with advance ML detection and tracking techniques to show the coordination of bacterial metabolism and membrane permeability. In a nutshell, my findings suggest that bacteria cannot “eat” and “breathe” at the same time.
• Prior to this, I obtained my MSc on Molecular Biology & Biotechnology at University of Groningen where I receive the Honours Collegue. Before that, I did my Bachelor at the Univeridad Autónoma de Madrid.
• Beyond my interest in ML and infectious diseases, I am also very interested in the application of new language ML models in the field of meta-analysis and meta-research.

Recent News

• I joined the Bryant Lab to develop lung-on-a-chip for the study of chronic infection. [09-01-23]
• I was awarded the Sandpit Cambridge Infectious Diseases award (£10.000) in cooperation with Felicity Crawsay-Williams, Daniel Bulh, Tomás Kappes and Pei-Yu Hsieh to develop smart probiotic therapies. [14-02-22]
• I received my doctoral degree in Scientific Medicine by the University of Cambridge. Thanks Flotolab! [30-11-21]
• I was invited to the Instituto Potosino the Ciencia y Tecnologia IPCyT to teach statistics and data analysis with R. [14-06-19]