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Postdoctoral Researcher CV
Maya
Chen
Postdoctoral
Researcher
Department
of
Computational
Neuroscience
·
MIT
maya
.
chen
@
mit
.
edu
+1 (617) 555-0198
Cambridge
,
MA
orcid
.
org
/0000-0003-2147-8391
RESEARCH
EXPERIENCE
Postdoctoral
Researcher
MIT
—
Department
of
Brain
&
Cognitive
Sciences
2022 –
Present
·
Cambridge
,
MA
Research
Fellow
Janelia
Research
Campus
,
HHMI
2019 – 2022 ·
Ashburn
,
VA
Graduate
Research
Assistant
Princeton
University
—
Neuroscience
Institute
2014 – 2019 ·
Princeton
,
NJ
EDUCAT IO N
Ph
.
D
.
in
Neuroscience
Princeton
University
2014 – 2019 |
Advisor
:
Prof
.
M
.
A
.
Wilson
B
.
S
.
in
Cognitive
Science
,
summa
cum
laude
University
of
California
,
Berkeley
2010 – 2014 |
Minor
in
Computer
Science
T ECHNICAL
SKILLS
EXPERIMENTAL
Two
-
photon
imaging
Electrophysiology
Optogenetics
Neuropixels
Histology
COMPUTATIONAL
Python
MATLAB
R
C
++
PyTorch
TensorFlow
Bayesian
modeling
Dimensionality
reduction
TOOLS
&
INFRASTRUCTURE
Unix
/
Linux
HPC
/
Slurm
Git
Docker
LaTeX
Illustrator
AWARDS
&
HO NO RS
Develop
a
computational
framework
for
cross
-
modal
integration
in
visual
and
auditory
cortex
using
large
-
scale
neural
recordings
from
non
-
human
primates
—
Built
a
recurrent
neural
network
model
that
predicts
neural
population
dynamics
across
cortical
layers
with
91%
fidelity
against
ground
-
truth
electrophysiology
data
—
Lead
a
collaborative
project
with
three
labs
across
MIT
and
Harvard
to
standardize
multi
-
region
recording
pipelines
;
manuscript
under
review
at
Nature
Neuroscience
—
Mentor
two
graduate
students
and
one
rotation
student
on
experimental
design
,
data
analysis
,
and
scientific
communication
—
Designed
and
executed
two
-
photon
calcium
imaging
experiments
in
behaving
mice
to
investigate
decision
-
making
circuits
in
posterior
parietal
cortex
—
Pioneered
an
optogenetic
protocol
to
bidirectionally
modulate
neural
activity
with
sub
-
second
precision
,
enabling
causal
testing
of
circuit
function
during
a
tactile
discrimination
task
—
Published
a
first
-
author
paper
in
Cell
describing
a
previously
unidentified
role
for
layer
5
neurons
in
evidence
accumulation
—
Presented
findings
at
Society
for
Neuroscience
annual
meeting
(2020, 2021)
and
Neural
Computation
&
Behavior
workshop
(2021)
—
Investigated
how
hippocampal
place
cells
remap
in
response
to
context
changes
using
in
vivo
tetrode
recordings
in
freely
behaving
rats
—
Implemented
a
Bayesian
decoding
algorithm
to
reconstruct
animal
position
from
ensemble
spiking
activity
,
achieving
sub
-
centimeter
spatial
resolution
—
Developed
an
open
-
source
Python
toolbox
(
placemap
v
2.0)
for
place
cell
analysis
;
adopted
by
15+
labs
worldwide
—
NIH
F
32
Postdoctoral
Fellowship
(2023–2026)
▹
Janelia
Graduate
Scholar
Award
(2018)
▹
Society
for
Neuroscience
Trainee
Professional
▹
1 / 2
SELECT ED
PUBLICAT IO NS
Chen
,
M
.
,
Park
,
J
., &
Miller
,
E
.
K
. (2024).
Cortical
layer
-
specific
dynamics
during
cross
-
modal
sensory
integration
.
Nature
Neuroscience
, 27(4), 712–724.
Chen
,
M
.
, &
Svoboda
,
K
. (2022).
Layer
5
neurons
gate
evidence
accumulation
in
posterior
parietal
cortex
.
Cell
, 185(12), 2104–2119.
e
19.
Thompson
,
R
.,
Chen
,
M
.
, &
Tank
,
D
.
W
. (2021).
A
recurrent
network
model
of
hippocampal
replay
during
spatial
navigation
.
Neuron
,
109(8), 1345–1360.
Chen
,
M
.
, &
Wilson
,
M
.
A
. (2019).
Bayesian
decoding
of
hippocampal
place
fields
reveals
sub
-
meter
position
encoding
.
Journal
of
Neuroscience
, 39(43), 8562–8575.
Chen
,
M
.
,
Guo
,
L
., &
Harris
,
K
.
D
. (2017).
A
toolbox
for
high
-
resolution
place
field
analysis
.
eLife
, 6,
e
28102.
T EACHING
&
MENT O RING
Guest
Lecturer
MIT
— 9.40:
Computational
Neuroscience
Spring
2024, 2025
Mentor
MIT
Summer
Research
Program
in
Neuroscience
(
SRPN
)
Summers
2023, 2024
GRANT S
&
FUNDING
LANGUAGES
English
(
native
)
Mandarin
Chinese
(
fluent
)
German
(
intermediate
)
SERVICE
Supervised
three
undergraduate
thesis
students
;
two
received
departmental
honors
—
Delivered
three
lectures
on
neural
population
decoding
,
recurrent
neural
networks
,
and
dimensionality
reduction
methods
—
Designed
and
graded
problem
sets
;
held
weekly
office
hours
for
60+
students
—
Mentored
two
undergraduate
researchers
from
underrepresented
backgrounds
on
independent
projects
in
computational
neuroscience
;
both
presented
posters
at
the
annual
SRPN
symposium
—
Development
Award
(2020,
2021)
Princeton
University
Harold
W
.
Dodds
Fellowship
(2017)
▹
UC
Berkeley
College
of
Letters
&
Science
Citation
for
Excellence
(2014)
▹
NIH
F
32
MH
128043
— "
Cortical
dynamics
of
cross
-
modal
decision
-
making
" (2023–2026,
$
184,000)
▹
MIT
Postdoctoral
Pilot
Grant
—
"
Real
-
time
closed
-
loop
optogenetics
in
primate
cortex
"
(2024,
$
15,000)
▹
Ad
hoc
reviewer
for
Neuron
,
Nature
Communications
,
eLife
,
Journal
of
Neuroscience
▹
Co
-
organizer
,
MIT
Computational
Neuroscience
Journal
Club
(2023–2025)
▹
Volunteer
judge
,
MIT
Undergraduate
Research
Symposium
(2024)
▹
2 / 2
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