Javier Rodríguez Martínez

Graduate researcher studying the fluctuations in behavior on 4 different tasks in mice through Hidden Markov models. This project was tied to my Master's Thesis. It aims to understand the underlying strategies that mice use to solve tasks and how these are shaped by the effects of NMDAr hypofunction. A python package was developed with the used models and is published in pypi under the name glmhmmt.

Internship conducting experiments with mice using an automated behavioral system (Training Village) to study the effects of anti-NMDAR encephalitis on working memory. Tasks included statistical analysis with Generalized Linear Models (GLMs) and the development of a decision-making model as part of my Mathematics Bachelor’s Thesis (TFG). The project combined data analysis and mathematical modeling to provide deeper insights into the dynamics of cognitive processes.

Conducted by a lead data scientist at N26. The course focused on financial problems, such as credit risk, fraud detection and default rate prediction. A kaggle competition centered on predicting default rates of businesses was held at the course, where I achieved the winning position.

A two week course on image compression algorithms in Matlab and information theory held at ICFO in the Theoretical Quantum Nano-Photonics Group.

Participant at the program. LYISF is a two-week science program held at Imperial College of London and the Royal Geographical Society with participants from over 70 countries. I attended lectures on a variety of science topics and visited research centres such as the Oxford Nuffield Department of Clinical Neurosciences.

Selected to participate at the programme Youth and Science, managed by Fundació Catalunya La Pedrera. A three-year programme to encourage scientific vocations of fifty talented young people with a drive to research. Funded to participate in LIYSF and the ICFO summer course (An introduction to image processing).