I am a graduate student in the UCLA Department of Biomathematics, an applied
mathematics program with emphasis on biological applications. I work primarily
on inverse problems in statistical physics and imaging. My research is in the
intersection between mathematics, statistics, and computer science. I also work
on modeling of neurophysiology using partial differential equations.
My advisors are Tom Chou,
KC Brennan, and
Van Savage. Additionally, I previously
had completed an MS in Statistics under the tutelage of Rick Schoenberg,
and Jan de Leeuw. I am currently seeking postdoctoral
positions in applied mathematics and mathematical biology. Please, do not hesitate to hire me.
Publications
- Joshua C. Chang, and Tom Chou. Regularized inversion of the eikonal equation using continuous Gaussian random fields.
In Progress. [arXiv]
- Joshua C. Chang, K.C. Brennan, and Tom Chou. Tracking monotonically advancing boundaries in
image sequences using graph cuts and recursive kernel shape priors, IEEE Transactions in Medical Imaging, To appear. [link] [preprint] [supplemental].
- K.C. Brennan, J.C. Chang, Tom Chou, Dondong He, H. Huang, R.M. Miura, Phillip L. Wilson, J.J. Wylie.
Failure of Neurovascular Coupling During Cortical Spreading
Depression: A Mathematical Model. In Progress.
- Joshua C. Chang, Lydia L. Shook, Jonathan Biag, Elaine N. Nguyen, Arthur W. Toga, Andrew C.
Charles, and Kevin C. Brennan. Biphasic direct current shift, haemoglobin desaturation and neurovas-
cular uncoupling in cortical spreading depression, Brain (2010) 133(4): 996-1012. [link]
- Joshua C. Chang MS and Frederic P. Schoenberg ScB, PhD
(2009) "A Statistical Analysis of Santa Barbara Ambulance Response in
2006: Performance Under Load", Western Journal of Emergency Medicine:
Vol. 10: No. 1, Article 12. [link]
