print(‘Hi there!')

I am Pablo Iáñez Picazo, a bioinformatician and data scientist from Granada, Spain. I hold a BSc in Biochemistry from Universidad de Granada and a MSc in Bioinformatics from University of Copenhagen. Recently, I received a ‘La Caixa’ Foundation excellence fellowship to pursue my Ph.D. studies. I am particularly curious about the potential applications of machine learning and deep learning models in big biological data, which will pave the way towards precision medicine.

I am currently a Ph.D. student at the Biomedical Data Science lab at ISGlobal, led by Paula Petrone, in Barcelona, Spain. We aim to develop digital epigenetic clocks using stem cell microscopy and deep learning models.

Before this, I worked as a research assistant at Elisabetta Mereu’s lab Cellular Systems Genomics at Josep Carreras Institute. There, I worked on single-cell multi-omics data analysis and integration using AI. I also participated in the Human Cell Atlas (HCA) of the human pancreas, mainly creating an atlas of open chromatin at single cell resolution.

During my master studies, I have been trained in Fernando Racimo’s lab and in Thomas Hamelryck’s lab, mainly developing deep learning and bayesian methods in the fields of protein structure and population genetics.

In my free time, I love discovering new music, learning to produce music, traveling and consuming plot-twist heavy stories in any medium.

You can find a detailed version of my CV here.

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