qbSS18: Lecturers

Organizers
Stochastic Gene Regulation

Lecturers teaching this course include:

  • Katherine King (Baylor College of Medicine)
  • Natalia Komarova (University of California, Irvine)
  • Tomasz Lipniacki (POLISH Academy of Science)
  • Franziszka Michor (Harvard)
  • Nicolas Navin (MD Anderson)
  • Sharon Plon (Baylor College of Medicine)
  • Simon Tavare (Cambridge/Columbia)
Cell Signaling

Lecturers teaching this course include:

Cancer Dynamics

Lecturers teaching this course include:

Braun.

Brian Munsky

 

 

 

About Rosemary Braun 

About Rosemary Braun 

Rosemary Braun is a computational biologist with an interest in the development of methods for integrative, systems-level analysis of high-dimensional ("big") *omic data. These methods incorporate bioinformatic information with experimental data to characterize the networks of interactions that lead to the emergence of complex phenotypes, particularly cancers.  Dr. Braun is an Assistant Professor of Biostatistics (Feinberg School of Medicine) and Engineering Sciences & Applied Mathematics at Northwestern University.

Dobelman.

Brian Munsky

 

 

 

About John Dobelman 

About John Dobelman 

Kimmel.

Brian Munsky

 

 

 

About Marek Kimmel 

About Marek Kimmel 

Levine.

Brian Munsky

 

 

 

About Herbert Levine 

About Herbert Levine 

Munsky.

Brian Munsky

 

 

 

About Brian Munsky 

About Brian Munsky 

Dr. Munsky joined the Department of Chemical and Biological Engineering and the School of Biomedical 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 single-cell stochastic gene regulation (q-bio.org). Dr. Munsky is very excited about the future of quantitative biology, and he would love to talk about this with you!