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Research Assistant CV
Elena
Voss
Research
Assistant
—
Computational
Neuroscience
Exploring
neural
dynamics
through
computational
modeling
and
electrophysiological
data
analysis
elena
.
voss
@
university
.
edu
+1 (555) 204-8731
Portland
,
OR
linkedin
.
com
/
in
/
elenavoss
github
.
com
/
evoss
CONTACT
elena
.
voss
@
university
.
edu
+1 (555) 204-8731
Portland
,
OR
97201
linkedin
.
com
/
in
/
elenavoss
SKILLS
Python
(
NumPy
,
SciPy
,
pandas
)
MATLAB
/
Simulink
Electrophysiology
(
patch
-
clamp
,
ePhys
)
Machine
Learning
(
scikit
-
learn
,
PyTorch
)
R
(
ggplot
2,
dplyr
)
LaTeX
,
Git
,
Linux
LANGUAGES
English
Native
German
Fluent
(
C
1)
French
Intermediate
(
B
1)
CERTIFICATIONS
CITI
Program
—
Biomedical
Research
&
Responsible
Conduct
Neural
Data
Science
—
Cold
Spring
Harbor
Laboratory
(2025)
Python
for
Biologists
—
University
of
Oslo
(2024)
PROFILE
Dedicated
Research
Assistant
with
3+
years
of
experience
in
computational
neuroscience
laboratories
.
Skilled
in
designing
and
executing
electrophysiological
experiments
,
analyzing
large
-
scale
neural
datasets
,
and
developing
computational
models
of
neural
circuits
.
Proficient
in
Python
,
MATLAB
,
and
machine
learning
techniques
for
neural
data
analysis
.
Strong
background
in
signal
processing
and
statistical
modeling
.
Committed
to
reproducible
research
and
open
-
science
practices
.
Research
Experience
Graduate
Research
Assistant
Pacific
Neuroscience
Institute
,
Portland
OR Sep
2024 –
Present
PI
:
Prof
.
Aiden
Shaw
Publications
Layer
-
specific
processing
of
whisker
-
evoked
responses
in
rat
barrel
cortex
:
a
computational
model
Voss
E
.,
Shaw
A
.,
Menon
P
.
Journal
of
Neuroscience
(
under
revision
, 2025)
1 / 3
Developed
a
biophysically
realistic
computational
model
of
rodent
barrel
cortex
using
NEURON
and
Brian
2,
achieving
89%
accuracy
in
predicting
in
vivo
firing
patterns
Designed
and
executed
whole
-
cell
patch
-
clamp
recordings
from
acute
brain
slices
to
validate
model
predictions
;
analyzed
data
using
custom
Python
pipelines
Built
an
automated
spike
-
sorting
pipeline
(
Python
,
scikit
-
learn
)
that
reduced
manual
curation
time
by
40%
Co
-
authored
a
manuscript
under
revision
at
Journal
of
Neuroscience
on
layer
-
specific
processing
in
somatosensory
cortex
Research
Assistant
(
Computational
)
University
of
Oregon
,
Eugene
OR Jun
2023 –
Aug
2024
Computational
Neuroscience
Lab
—
PI
:
Prof
.
Priya
Menon
Analyzed
high
-
density
EEG
recordings
from
human
participants
using
custom
MATLAB
and
FieldTrip
scripts
;
identified
theta
-
gamma
phase
-
amplitude
coupling
correlates
of
working
memory
load
Implemented
a
recurrent
neural
network
(
PyTorch
)
that
reproduced
grid
-
cell
firing
patterns
observed
in
rodent
entorhinal
cortex
recordings
Managed
laboratory
data
infrastructure
(
Git
version
control
,
cloud
storage
,
experiment
databases
)
for
a
team
of
6
researchers
Undergraduate
Research
Fellow
Reed
College
,
Portland
OR Jan
2022 –
May
2023
Senior
thesis
: "
Inhibitory
circuit
motifs
shape
temporal
integration
in
cortical
pyramidal
neurons
"
Performed
whole
-
cell
voltage
-
clamp
recordings
in
acute
Theta
-
gamma
phase
-
amplitude
coupling
during
working
memory
maintenance
in
human
EEG
Voss
E
.,
Kowalski
D
.,
Menon
P
.
NeuroImage
, 298:120747,
2024
Short
-
term
plasticity
at
parvalbumin
-
positive
inhibitory
synapses
shapes
temporal
integration
in
CA
1
pyramidal
neurons
Voss
E
.,
Yamada
R
.
Program
No
. 478.06,
Society
for
Neuroscience
2023
2 / 3
hippocampal
slices
to
characterize
short
-
term
plasticity
at
inhibitory
synapses
Developed
a
conductance
-
based
integrate
-
and
-
fire
model
(
MATLAB
)
that
reproduced
experimentally
observed
integration
dynamics
Presented
findings
at
the
Society
for
Neuroscience
Annual
Meeting
(2023,
Washington
D
.
C
.)
Education
M
.
S
.
in
Neural
Computation
Pacific
Neuroscience
Institute
/
University
of
Portland
2024 –
Expected
2026 ·
GPA
:
3.92
B
.
A
.
in
Biology
&
Computer
Science
(
Double
Major
)
Reed
College
,
Portland
OR
2019 – 2023 ·
GPA
: 3.88 ·
Magna
Cum
Laude
3 / 3
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