Adriana Fitzgerald
From The Circuits and Biology Lab at UMN
About Me
I am a Ph.D. student in the Dept. of Electrical and Computer Engineering at the University of Minnesota, Twin Cities Campus.
Funding
I have been awarded a Traineeship through the Biomedical Informatics and Computational Biology Program, a University of Minnesota/Mayo Clinic/IBM Partnership.
Education
I received my B.S. degree in Dept. of Electrical and Computer Engineering at the University of Minnesota, Twin Cities Campus.
Contact Information
File:Adriana Contact Info IMG.JPG
Research
I am working on projects in the field of Synthetic Biology. This includes expanding BAMBI and developing other tools to aid biological synthesis.
In an article linked below [3], Drew Endy asked “What foundational engineering technologies would best enable the routine design and construction of useful synthetic biological systems?" Through my research, I will provide these technologies.
Selected Papers of Interest
Title: Computation With Finite Stochastic Chemical Reaction Networks [1]
Authors: David Soloveichik, Matthew Cook, Erik Winfree, and Jehoshua Bruck
Comments: Methodology for implementing register language with conceptual synthetic biology reactions. State machine implements increment and decrement instructions. Good proofs and error calculations.
Title: Programmability of Chemical Reaction Networks[2]
Authors: Matthew Cook, David Soloveichik, Erik Winfree, and Jehoshua Bruck
Comments:
Title: Foundations for engineering biology[3]
Author: Drew Endy
Comments: Great review of synthetic biology topics and concepts. From Nature, November 2005.
Title: Engineering bacteria to solve the Burnt Pancake Problem[4]
Authors: Karmella A Haynes, et al.
Comments: Recent work in synthetic biology. Engineered E. coli using Salmonella DNA to solve "Burnt Pancake Problem." Segments of DNA are flipped to solve the sorting algorithm. Bacteria becomes antibiotic resistant when solved.
Title: Higher-Order Cellular Information Processing with Synthetic RNA Devices[5]
Authors: Maung Nyan Win and Christina D. Smolke
Comments: Another recent work in synthetic biology. RNA computing. Implements digital logic and signal processing capabilities.
Titles:
Authors: Allen Hjelmfelt, Edward D. Weinberger, John Ross [6,7]. Adam Arkin and John Ross [8]
Comments: Modeling neurons with synthetic biology proves to be an effective way to model logic gates and state machines. An interesting concept.
