Summary
Renan Cabrera is a Senior Manager and PK modeler with over a decade of experience applying advanced computational and statistical methods to pharmacokinetic/pharmacodynamic problems across industry and academia. Trained as a physicist (PhD) and with a long postdoctoral and research background at Princeton, he blends numerical analysis for ODEs/PDEs, Monte Carlo estimation, and machine learning to build robust PKPD models and simulation tools. He has progressed through roles from academic research to senior pharmacometrics positions at biotech and pharma, now leading PK modeling at Sun Pharma. Fluent in Python, C/CUDA, MATLAB, R and domain tools like NONMEM and Simbiology, he brings a rare mix of high-performance computing and domain expertise in drug development. Notably, his background in quantum mechanics and computational physics informs unconventional modeling perspectives that improve numerical stability and inference in complex biological systems.
10 years of coding experience
17 years of employment as a software developer
Ph. D. Physics, Ph. D. Physics at University of Windsor
MSc Computational particle physics, MSc Computational particle physics at Creighton University
English, Spanish