The Department of Biomathematics provides doctoral training in mathematical
and computational biology with the aim of developing creative, fully independent
investigators who can initiate research in both applied mathematics and their
chosen biomedical specialty. The research interests of our faculty include applications
in genetics, population modeling, evolutionary molecular biology, cellular and
molecular modeling, transport biophysics, pharmacokinetics, drug treatment optimization,
and functional imaging/physiologic modeling. Their associated methodologic research
interests includes computational statistics, sequence analysis, optimization
theory, medical time series, theoretical biophysics, applied stochastic processes,
and compartmental modeling. In addition to core coursework in Biomathematics,
the doctoral curriculum provides ample opportunity for further graduate training
in applied mathematics, statistics, computer science, engineering, or physics.
Students also develop with their advisers a coherent plan for advanced biological
or biomedical training that is integrated with their quantitative and research
training. Biomathematics is the home department for an NIH Systems and Integrative
Biology Training Grant with over two dozen affiliated UCLA faculty members,
from over a dozen departments, whose research bridges mathematical modeling
and the biological sciences. The affiliated faculty and their laboratories greatly
expand opportunities for individualized interdisciplinary training, advising,
and research mentoring in biomathematics.
Detailed information about the UCLA Biomathematics PhD Program, including information
about admissions, can be found at http://www.biomath.medsch.ucla.edu/GraduateProgram/.
This page was last updated on August 14, 2003 by David Meyer, PhD (email@example.com).