Cecilia Diniz Behn
Colorado School of Mines
Department of Applied Mathematics and Statistics
1500 Illinois Street
Golden, Colorado
80401
303.273.3872

cdinizbe@mines.edu
 

Cecilia Diniz Behn

I am an assistant professor in the Department of Applied Mathematics and Statistics at Colorado School of Mines.

I also hold appointments as an adjoint assistant professor in the Division of Endocrinology of the Department of Pediatrics at the University of Colorado School of Medicine and as an assistant professor adjunct in the Department of Integrative Physiology at the University of Colorado Boulder.

My areas of research include:

  • Multiscale mathematical modeling of sleep and circadian systems
  • Mathematical modeling of glucose-insulin dynamics
  • High-dimensional multiscale systems of differential equations
  • Network dynamics

Current research projects address the following:


  • Exploiting multiple time scales in the interactions between sleep and circadian rhythms to analyze bifurcations associated with developmentally-mediated changes in sleep-wake behavior
  • Incorporating Markov Chain Monte Carlo (MCMC) techniques to optimize experimental protocols and data mining for sleep and circadian data
  • Modeling glucose-insulin dynamics to characterize tissue-specific insulin resistance
  • Analysis of pediatric narcolepsy data and modeling orexin/hypocretin neurons and their functional role in stabilizing sleep-wake behavior
  • Integrating molecular and electrophysiological models to investigate modulation and signaling of the circadian clock
  • Characterizing stochastic and deterministic contributions to the fine architecture of sleep-wake behavior
Please visit my Research page for additional information.


External funding

My research is or has been supported by the following extramural grants:

  • National Institutes of Health Grant ROI HD087707 (2017-2022)
  • National Science Foundation Grant DMS 1412571 (2014-2018)
  • National Science Foundation Grant DMS 1121361 (2011-2014)
  • Air Force Office of Scientific Research Grant FA9550-08-1-0111 (2008-2011)