Assitant Professor at UCLA
Grace studies the cardiovascular system quantitatively
by closely integrating exploration of physiologic
mechanisms with signal processing, systems modeling
and related approaches.
Examples of her work include: development of
a new system identification approach called weighted
principal component regression, design of a technique
to non-invasively measure cardiac autonomic control
(sympathetic and parasympathetic) from ECG signals,
and study of the effects of microgravity exposure
on the cardiovascular system.
Grace is currently an Assistant Professor at
UCLA working on computational and systems biology
of pre-mRNA splicing and gene expression.
Splicing is a critical step enabling diversity
in gene expression programs. At least half of
all human genes undergo alternative splicing,
which allows multiple gene products with potentially
different functions to be produced from a single
gene locus. Importantly, splicing is tightly and
specifically regulated in different cell types,
tissues and developmental stages. Thus, alteration
of normal splicing plays an important role in
various diseases.
To decipher splicing regulation in health and
disease, we use computational and experimental
approaches which exploit the recently available
large number of vetebrate genomes and fast-developing
high-throughput technologies, such as deep sequencing
and microarrays.
E-mail: gxxiao_at_ucla.edu
Xiao Lab at UCLA web page
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