Dr. Perez-Carrasco interests focus on theoretical systems biology to understand how space, time, and precision are related at different scales in biology such as embryo development or synthetic biology. To this end he is developing a systems biology mathematical framework that reveals insight into cell fate decisions employing analytical and computational tools that make use of dynamical systems, stochastic processes, and Bayesian inference.
et al., 2021, Precision of tissue patterning is controlled by dynamical properties of gene regulatory networks, Development, Vol:148, ISSN:0950-1991
et al., 2020, Species-specific pace of development is associated with differences in protein stability, Science, Vol:369, ISSN:0036-8075, Pages:1-15
Perez-Carrasco R, Beentjes C, Grima R, 2020, Effects of cell cycle variability on lineage and population measurements of messenger RNA abundance, Journal of the Royal Society Interface, Vol:17, ISSN:1742-5689
Barbier I, Perez-Carrasco R, Schaerli Y, 2020, Controlling spatiotemporal pattern formation in a concentration gradient with a synthetic toggle switch, Molecular Systems Biology, Vol:16, ISSN:1744-4292
Beentjes CHL, Perez-Carrasco R, Grima R, 2020, Exact solution of stochastic gene expression models with bursting, cell cycle and replication dynamics, Physical Review E, Vol:101, ISSN:2470-0045