Valeria
Pettorino is
staff
scientist
at
CEA
Paris-Saclay
since
2017,
in
the
group
CosmoStat.
During
her
career
path,
she
has
worked in
Italy,
Spain,
USA,
Switzerland,
Germany
and
moved
about
10
times
in
12
years,
since
her
PhD
in
2005.
Theorist
by
training,
she
became
more
and
more
interested
in
data
and
contributed
to
ICARUS
(during
her
PhD),
Planck
(since
2009),
Euclid
(since
2007)
missions,
usually
in
roles
at
the
interface
between
theory
and
data.
She
has
co-authored
approximately
130
publications
in
scientific
journals,
and
led
Planck
Dark
Energy
and
Modified
gravity
analysis,
and
Euclid
forecast
activity. With
the
advent
of
very
large
datasets,
she
got
more
and
more
interested
in
machine
learning,
within
and
outside
academia.
She
is
Alumna
of
the
Marie
Curie Association,
of
the
Alexander
von
Humboldt
Foundation,
of
the
Italian
Academy
in
New
York,
and
of
Science
to
Data
Science
training
by
the
start-up
Pivigo.
She
has
organised
schools,
conferences
and
workshops
within
academia
and
in
connection
with
industry
(EuroPython,
to
share
diverse
applications
of
python
programming
language), and
has
also
taken
part
to
several
events
to
communicate
science
to
the
general
public. Since
2019
she
has
been
President
of
the
French
National
Program
for
Cosmology
and
Galaxies
(PNCG)
at
CNRS
and
completed
a
training
in
science
diplomacy.
She
is
mentor
for
the
Supernova
Foundation,
a
worldwide
mentorship
programme
for
women
in
physics.
Talk
Title
and
Abstract:
Dark
Energy,
from
theory
to
data
Cosmology
is
advancing
thanks
to
contributions
from
theory,
data,
and
methods
that
link
theory
and
data.
I
will
discuss
recent
results
I
have
been
working
on,
which
touch
these
three
aspects.
I
will
in
particular
discuss 1)
coupled
dark
energy
and
the
H0
tension;
b)
weak
lensing
statistics
as
a
tool
to
distinguish
different
theoretical
models;
c)
forecasts
for
the
Euclid
satellite
space
mission,
whose
launch
is
expected
in
2022.
Would
you
like
to
join
this
Zoom
seminar?
Please email Donna
Hayes.
