Office Location: 354 Scott Bioengineering
Personal website: http://www.engr.colostate.edu/~munsky/
Dr. Brian Munsky joined the Department of Chemical and Biological Engineering as an assistant professor in January of 2014. He received B.S. and M.S. degrees in Aerospace Engineering from the Pennsylvania State University in 2000 and 2002, respectively, and his Ph.D. in Mechanical Engineering from the University of California at Santa Barbara in 2008. Following his graduate studies, Dr. Munsky worked at the Los Alamos National Laboratory — as a Director’s Postdoctoral Fellow (2008-2010), as a Richard P. Feynman Distinguished Postdoctoral Fellow in Theory and Computing (2010-2013), and as a Staff Scientist (2013). Dr. Munsky is best known for his discovery of Finite State Projection algorithm, which has enabled the efficient study of probability distribution dynamics for stochastic gene regulatory networks. Dr. Munsky’s research interests at CSU are in the integration of stochastic models with single-cell experiments to identify predictive models of gene regulatory systems. He was the recipient of the 2008 UCSB Department of Mechanical Engineering best Ph.D. Dissertation award, the 2010 Leon Heller Postdoctoral Publication Prize and the 2012 LANL Postdoc Distinguished Performance Award for his work in this topic. Dr. Munsky is the contact organizer of the internationally recognized, NIH-funded q-bio summer school, where he runs a 3-week graduate level summer course on single-cell gene regulation (q-bio.org).
Dr. Munsky is very excited about the potential future for quantitative biology at CSU. He is currently recruiting graduate students, undergraduates, postdoc and collaborators to start exciting multidisciplinary investigations to integrate experimental and computational analyses with the goal to acquire predictive quantitative understanding of biological systems. Interested students, postdocs and collaborators should email him directly or just stop by the new BME building to chat. Students from engineering, computer science, biology, physics, and chemistry are all encouraged to apply. Please take a look at our recent Science articles to see how interdisciplinary research is changing the way we study biological processes, and let us know if you want to get involved!