Mariana Gómez-schiavon
Associate Investigator
Querétaro, Mexico
Summary
👤
Senior🎓
Top SchoolMariana Gómez-schiavon is an evolutionary systems biologist and Associate Investigator who studies how emergent dynamical behaviors of gene regulatory networks—such as plasticity, bistability, and oscillations—arise and are maintained by natural selection. With a PhD in Computational Biology from Duke and nine years of research experience spanning UCSF, UNAM, and iBio Chile, she combines population genetics, biophysical modeling, and stochastic gene-expression theory to link molecular mechanisms to evolutionary outcomes. Her work probes when adaptive variation evolves de novo versus being shaped by existing network structure, aiming to build a unifying theoretical framework for evolutionary dynamics. Based in Querétaro, Mexico, she brings a rare blend of quantitative modeling and conceptual synthesis, and is known for translating complex dynamical systems into testable evolutionary predictions.
9 years of coding experience
Doctor of Philosophy (Ph.D.), Computational Biology, Doctor of Philosophy (Ph.D.), Computational Biology at Duke UniversityBachelor of Science (BS), Genome Sciences/Genomics, Bachelor of Science (BS), Genome Sciences/Genomics at Universidad Nacional Autonoma de MexicoMaster of Science (M.S.), Biomedical Engineering and Physics, Master of Science (M.S.), Biomedical Engineering and Physics at CINVESTAV, Unidad Monterrey
English, Spanish, Italian
Github Skills (11)
adaptation7
controlled7
mechanism7
electrophysiology5
biomechanics4
switch3
dynamics3
evolutionary3
data-science2
modeling2
bioinformatics2
Programming languages (4)
Github contributions (5)
mgschiavon/Epi_EvoDynamics
Mar 2018 - Sep 2019
Evolutionary dynamics of an epigenetic switch in a fluctuating environment
Contributions:3 releases, 6 PRs, 43 pushes in 1 year 6 months
evolutionaryswitchdynamicsevolutionary-dynamics
mgschiavon/bioPIDcontrol
Aug 2019 - Oct 2020
Contributions:11 commits, 5 pushes, 3 branches in 1 year 2 months
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