Summary
Brian Munsky is an Associate Professor of Chemical, Biological, and Biomedical Engineering with a decade of experience applying stochastic modeling, statistical inference, and experiment design to extract predictive insight from single-cell and single-molecule data. He builds and validates quantitative models of gene regulation that turn cellular “noise” from a nuisance into an information-rich fingerprint of underlying mechanisms, combining Bayesian and machine-learning approaches with computer-aided experiment design. His work spans bacteria to mammalian systems and scales from single mRNA molecules to complex microbial communities, and grew from a background in mechanical and aerospace engineering including a PhD from UC Santa Barbara. At Colorado State University he leads interdisciplinary teams and leverages theoretical tools developed during a distinguished postdoc at Los Alamos to make models experimentally actionable and predictive. An often-overlooked strength is his focus on designing experiments that maximize information per dollar, ensuring practical impact for both basic and synthetic biology.
10 years of coding experience
14 years of employment as a software developer
MS, Aerospace Engineering, MS, Aerospace Engineering at Penn State University
PhD, Mechanical Engineering, PhD, Mechanical Engineering at UC Santa Barbara
q-bio Summer School