Juan Pablo Muñoz Díaz
Biography
Juan Pablo Muñoz Díaz is a Ph.D. candidate under the supervision of Prof. Jesper Tegnér (KAUST), co-supervised by Dr. Narsis Kiani (karolinska institutet). His research merges machine learning and bifurcation theory to uncover hidden variables in nonlinear biological systems. He has conducted collaborative research at the University of Cambridge and presented at leading international conferences, including the International Conference on Systems Biology and the SIAM Conference on Dynamical Systems.
Research Interests
Juan Pablo is interested in learning Generative Causal Models from Sparse Temporal Observations during Cellular Reprogramming. His research focuses on identifying efficient algorithms for generation of ensembles of dynamical models and using 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.
Education
- Master of Science (M.S.)
- Applied Mathematics, National University of Colombia, Colombia, 2018
- Bachelor of Science (B.S.)
- Mathematics, National University of Colombia, Colombia, 2014
