Pablo Meyer Rojas

Pablo is manager of the Biomedical Analytics and Modeling group at the IBM Center for Computational Health. He joined IBM research in 2010 and received his Undergraduate degree in Physics from the University of Mexico UNAM (2000) and a Masters degree from the University of Paris VII/XI his Ph.D. in Genetics from the Rockefeller University (2005). He was awarded a Helen Hay Whitney fellowship as a posdoctoral fellow in Columbia university.

General interests

I am overall interested in applying algorithms and models to biological data and specifically how events determine higher order phenomena/behaviour/disease from regulation of bacteria, mitochondrial fractional control of cell death (using our DEPICTIVE algorithm), circadian bevahiors in flies and prediction of human olfactory responses in disease (see full text of recent paper in Science)

I have been lately interested in Natural Language Processing and embeddings to understand olfactory perception (see our paper Nature comms) and its applications to diagnosis of disease (see NYT article on our COVID predictions through smell analysis).

I am also a director of DREAM challenges, where we look for algorithmic and Artificial Inteligence solutions in Systems Biology via crowdsourced competitions, I recently organized the Single cell transcriptomics DREAM challenge and the Million Promoter prediction challenge with a paper in Nature Biotechnology. 

You can check my TEDx talk on DREAM challenges, 'Breaking the Piñata of Science'.