Dr. Jana Gevertz                        
Associate Professor 
The College of New Jersey
Department of Mathematics and Statistics
Science Complex P212
Phone: 609-771-3314
Email: gevertz {at} tcnj {dot} edu




About Me

My research interests are primarily in the field of mathematical oncology.  This is a subfield of mathematical biology in which tools from applied and computational mathematics are used to understand cancer initiation, progression and treatment.  I also have a strong interest in deeply engaging undergraduate mathematical biology experiences, both in the classroom and in intensive rese
arch experiences.  

I received my undergraduate degree in Mathematics with a minor in Biology from Rutgers University.  My Ph.D. in Applied and Computational Mathematics was done under the supervision of Dr. Salvatore Torquato at Princeton University.  
My full Curriculum Vitae can be found here for those who are interested.


Publications

  1. J.L. Gevertz, 2012.  Optimization of vascular-targeting drugs in a computational model of tumor growth.  Phys. Rev. E 85: 041914. 
  2. J. L.  Gevertz, 2011.  Computational modeling of tumor response to vascular-targeting therapies: I. Validation.  Comp. Math. Meth. Med 2011: 830515.
  3. J.L. Gevertz and S. Torquato, 2009.  Growing heterogeneous tumors in silico.  Phys. Rev. E 80: 051910.   
  4. J.L. Gevertz and S. Torquato, 2009.  Mean survival times of absorbing triply periodic minimal surfaces.  Phys. Rev. E 80: 011102.
  5. J.L. Gevertz, G. Gillies and S. Torquato, 2008.  Simulating tumor growth in confined heterogeneous environments.  Phys. Biol. 5: 036010.
  6. J.L. Gevertz and S. Torquato, 2008.  A novel three-phase model of brain tissue microstructure.  PLoS Comput. Biol. 4(8): e1000152.
  7. J.L. Gevertz and S. Torquato, 2006.  Modeling the effects of vasculature evolution on early brain tumor growth.  J. Theor. Biol. 243(4): 517-531.
  8. J.L. Gevertz, S. Dunn and C.M. Roth, 2005. Mathematical models of real-time PCR kinetics.  Biotech. Bioeng. 92(3): 346-355.
  9. J. Gevertz, H.H. Gan and T. Schlick, 2005.  In vitro RNA random pools are not structurally diverse: a computational analysis.  RNA 11(6): 853-863.



Conferences & Workshops I've attended or will be attending


Courses



Links for Students