Schedule and News
- Attending the SIAM Conference on Applications of Dynamical Systems in Snowbird, Utah. (17-21 May 15)
- Attending the Workshop on Stem Cells, Development, and Cancer at MBI. (13-17 April 15)
- Presenting invited talk at the IMACS Conference at the University of Georgia: "The effect of radiation-induced dedifferentiation on cancer cell lineage." (01-04 April 15)
- Presented talk at Ohio Wesleyan University "Modeling cancer cell lineage and radiation-induced dedifferentiation." (06 Nov 14)
- Email: fessel.6 (at) mbi.osu.edu
- Office: Jennings Hall 380,
Ohio State University
- Phone: 614.688.3334
- Postdoctoral Fellow at the Mathematical Biosciences Institute (September 2013 -- present)
- Ph. D. in Mathematics, Rensselaer Polytechnic Institute (May 2013)
- M. S. in Applied Mathematics, Rensselaer Polytechnic Institute (December 2009)
- B. S. in Applied Mathematics and Professional Chemistry, University of Evansville (May 2007)
I am primarily interested in mathematical biology, asymptotic methods, and combining analytics with numerics to arrive at system solutions. Below are brief descriptions of my current and recent research. (Click the headers for more details on each project.)
- Cancer Cell Lineage
My current research focuses on the development of a cancer lineage model including the effect of radiation-induced cellular de-differentiation. A coupled ODE population model is used to track stem, committed progenitor, and differentiation cells both with and without applied radiation, and the role of various internal feedbacks is under investigation.
- Glucose-Insulin Dynamics
I am also currently analyzing glucose-insulin dynamics via analytic solution to the Bergman-Cobelli minimal model. With the use of an expanded intermediary function, we have developed a constrained minimizing algorithm to fit patient-specific parameters for diabetes prediction. We are now testing this analytic-numeric approach on clinical data.
- Active Hearing
My thesis research centered around the development of a comprehensive model for the transduction mechanism of the mammalian cochlea. The fluid-solid interactions of the cochlea can be described by coupled PDEs; whereas, a micromechanical model has been developed to represent the outer hair cells' external forcing which influences the system nonlinearly.
A PDF copy of my CV can be found here.
Last update: 12 January 2015.