I
studied
in
the
Nanotechnology
Engineering
honours
program
at
the
University
of
Waterloo
and
graduated
with
my
BASc
degree
(with
distinction)
in
2013.
I
then
pursued
a
MASc
degree
in
Chemical
Engineering
at
the
University
of
Waterloo.
In
my
research,
I
used
an
existing
pairwise
potential
energy
formulation
but
developed
new
strength
and
range
functions
for
the
potential
in
order
to
capture
anisotropic
and
asymmetric
interactions
between
different
particle
pairs
(rod-rod
and
rod-sphere).
I
used
the
potential
to
perform
coarse-grained
molecular
Monte
Carlo
simulations
of
liquid
crystal
phases
and
liquid
crystal-nanoparticle
mixtures.
In
2013,
I
was
awarded
a
Nanofellowship
from
the
Waterloo
Institute
for
Nanotechnology
(WIN).
I
presented
my
work
at
the
2015
Compute
Ontario
Research
Day
(CORD)
and
received
the
best
oral
presentation
award.
My
work
has
also
been
presented
at
the
2015
Gordon
Research
Conference
(GRC).
I
joined
Professor Luis'
research
group
as
a
PhD
student
in
the
fall
of
2015
to
develop
new
and
efficient
methods
for
optimization
and
control
of
multiscale
process
systems
under
uncertainty
using
efficient
uncertainty
propagation
methods
such
as
Power
Series
Expansion
(PSE)
or
Polynomial
Chaos
Expansion
(PCE).
Thesis:
On
the
Techniques
for
Efficient
Sampling,
Uncertainty
Quantification
and
Robust
Control
of
Stochastic
Multiscale
Systems
