The Department of Statistics and Actuarial Science is pleased to welcome Assistant Professor Samuel Wong as of July 1st 2018.
Tuesday, July 10, 2018
Samuel
Wong
(PhD
2013,
Harvard
University)
joins
our
department
from
the University
of
Florida
where
he
was
an Assistant
Professor.
Samuel's research
focuses
on
developing
analytical
methods
to
tackle
data-driven
problems
arising
in
scientific
domains.
Currently,
his
main
applications
of
interest
are
protein
structure
prediction,
learning
dynamic
systems
in
biology,
and
quality
assessment
of
forest
products.
Statistical
areas
featured
in
his
work
include
Bayesian
modeling,
Monte
Carlo
methods,
and
approximate
inference
strategies.
With
his
data
science
focus,
Samuel
is
keen
on
solving
problems
arising
through
collaboration,
where
both
principled
methodology
and
large-scale
computation
are
needed.
To
learn
more
about
Samuel's
research,
please
visit
his website.
