Jason Shoemaker

UC Fellow
IGERT Fellow
EAPSI-JSPS Fellow

UC, Santa Barbara
Dept of Chemical Engineering
Email: jshoe@engr.ucsb.edu

My research is primarily focused on the application of robustness theory from controls engineering to guide the evolution of biological networks, with implications in both drug target identification and therapeutic design. More specifically, I have looked into the significance of applying well defined performance criteria to signaling networks to identify the interactions which most strongly effect network behavior. Application of performance criteria to apoptotic signaling illustrates how uncertainty in different parameter subgroups is manifested by altering differing signaling characteristics. Furthermore, application of performance criteria is necessary for illuminating the significance of the proteasome on apoptotic efficacy.

Advisors: Francis J Doyle III and Linda Petzold