Research Assistant CV — page 1

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

Research Assistant CV — page 2

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

Research Assistant CV — page 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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