Research
Hi! My name is Jaime and I am third year third year PhD student under the supervision of Prof. David Alonso and Prof. Pedro Ferreira. My research mostly concerns Cosmology with a particular focus in bridging the gap between our theories large scale structure growth and observations. In order to do so, I make extensive use of statistical methods and large data sets.
In the past, I have mainly worked developing consistency tests for our cosmological paradigm, the LCDM model, in the light of the S8 tension (why is the Universe less clumpy than what the early Universe would make us believe?). With this aim, I studied the use of Gaussian processes as tools for "model independent" Cosmology.
Currently, I am working on alleviating the challenges posed by large cosmological models (100+ parameters) to statistical inference. I am doing so in three different ways:
- Combining large amounts in summary statistics of cosmological data to maximize constraining power.
- Using of gradient information to guide the exploration of the parameter space.
- Developing codes to obtain quick gradients of theoretical predictions through auto-differentiation.
You can find my publications here.