Summary
Robersy Sanchez is a CTO and mathematical biologist with over a decade of experience translating theoretical frameworks into practical tools for epigenetics and precision medicine. He leads Epimethyl Analytics, where he applies information thermodynamics to DNA methylation and developed Methyl-IT to distinguish regulatory methylation signals from background noise. His career spans academic leadership roles at Penn State and University of Nebraska–Lincoln and postdoctoral training at Cambridge, blending deep expertise in genetics, applied mathematics, and computational biology. Robersy’s work is notable for framing biochemical enzyme activity in information-theoretic terms, a less obvious but powerful lens that improves detection of subtle disease-associated epigenetic changes. He maintains an active publication record and public research presence across ORCID, Google Scholar, and his lab website.
10 years of coding experience
12 years of employment as a software developer
Postdoc, Computational Biology, Postdoc, Computational Biology at University of Cambridge
Doctor of Philosophy (Ph.D.), Genetics, Doctor of Philosophy (Ph.D.), Genetics at University of Havana
Master's degree, Applied Mathematics, Master's degree, Applied Mathematics at Central University of Las Villas
Spanish, English