I am an applied mathematician studying for my doctoral degree in mathematics at UC Irvine through the Mathematical and Computational Systems Biology (MCSB) Gateway Program. I previously studied at Oberlin College where I earned a B.A. in mathematics with minors in physics, computer science, and economics. My research interest is the application of mathematics as a tool for specifying, understanding, and solving problems encountered in the sciences. I am particularly interested in the study of complex systems: the modeling of the interactions of many separate processes to create emergent behavior in larger systems. This has lead me to research which has spanned areas such as climate science, chemistry, econometrics, evolutionary biology, theoretical physics, and environmental statistics.
As noisy signals are prevalent in biology, organisms have developed mechanisms for mitigating and using the noise of these signals. My current interest is the mathematical study of common network motifs and their functions in noisy environments. One such project is looking to identify critical transitions in stem cell lineages and develop a measure that can predict transitions from a stable (non-cancerous) state to an unstable (cancerous) state. Due to the computational complexity of the simulations required in this field, I am also interested in software development and the algorithmic issues dealing with high performance/scientific computing. For more information on my research interests, work experience, and skill set, please see my CV.
I am also actively engaged in the arts. I participated in theater for eight years as an actor, light/sound technician, and assistant director. I have also been involved with photography, music, audio engineering, and web design. Please check out my photo gallery and mathematical art if interested.
For more information, preprints, and software, check out my website at www.chrisrackauckas.com.
Orange County, California Area
Graduate Student
Research
University of California, Irvine
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