Juan Pablo Munoz Diaz

Juan Pablo is interested in learning Generative Causal Models from Sparse Temporal Observations during Cellular Reprogramming. His main job is to identify efficient algorithms for generation of ensembles of dynamical models and use supervised deep learning algorithms for pattern discovery in large-scale simulation data-sets. These steps aiming to and motivated both by our quest of asking fundamental questions of relevance to human nature and discovery of transformative intelligent technologies inspired from nature.

Applied mathematics Bioscience Dynamical systems Deep learning Bifurcation Theory