a) Danielle Bassett Network neuroscience, dynamic networks, hard-wired pathways and transient communication, design of personalized therapeutics for rehabilitation and treatment of brain injury, neurological disease, and psychiatric disorders.
b) Charles Epstein: Mathematical aspects of population genetics and evolution.
c) Warren Ewens Mathematical methods in human genetics.
d) Mark Goulian Bacterial regulatory circuits, two-component signaling in E. coli, directed evolution of signaling circuits.
e) Sampath Kannan Algorithmic problems in computational biology.
f) Junhyong Kim Generation and encodong of information in biological systems, genomics and bioinformatics.
g) Vijay Kumar Bio-inspired architectures and algorithms.
h) Andrea Liu Biophysics of cellular movement.
i) Elchanan Mossel Molecular evolution and phyllogenetics.
j) Phil Nelson The physics of artificial biomembranes, biopolymers such as DNA, and other "soft" condensed matter systems.
k) Joshua Plotkin Mathematics and computation to study questions in evolutionary biology and ecology, primarily the origin and maintenance of genetic variation within populations.
l) Prashant Purohit Mechanics of DNA and implications for the life cycle of viruses and the switching on and off of genes.
m) Arjun Raj
n) Harvey Rubin Pathogenesis of dormancy in Mycobacterium tuberculosis, Enzymology and cell biology of serine proteases and serine protease inhibitors, Biomolecular Computation.
o) Yun Song Population Genetics.
See also MathBio at Penn.