Data Engineer

He Zhu Christina Add:**

Ashford

Street,

Allston,

MA02134

Tel:818-***-****

Email:*****@***.***

Objective Seeking an Biomedical R&D Engineer position that utilizes my biomedical & machine

learning

knowledge

with

signal

&

image

processing

skill. Education University

of

Southern

California,

Los

Angeles,

CA Master

of

Science,

Biomedical

Engineering Emphasis:

Medical

Imaging

and

Imaging

Informatics 08/14- 05/16

Beihang

University,

Beijing,

China

Bachelor

of

Science,

Biomedical

Engineering 09/10- 07/14

Skills Programming

Skills:

Matlab/Python/JAVA/C Software

Skills:

Github/MS

Office/

Photoshop Machine

Learning:

Data

Pre- processing,

model

design,

Dimensionality

Control Soft

Skills:

Communication,

Teamwork,

Self- motivation,

Multi- task Publications “A

Novel

Method for

Pulse

Onset

Detection

on

Photoplethysmogram

Using Changes

of

Wave

form

Trend”,

H.Zhu,

Z.M.Zhang,

L.Y.Zhang,

H.X.Wei,

L.Wang. 10/13

• It’s

about

PPG

signal

processing

based

on

non- invasive

measurement.

Published on

the

International

Conference

on

Health

Informatics(ICHI

2013).

• Finish

all

the

project

and

paperwork

by

myself.

Programmed

by

Matlab.

• Won

the

first

prize

in

IFMBE

Young

Investigator

Competition

by

presentation. Academic

Project

Experience

Digital

Signal

Processing 10/14

• Use

zero

padding

of

the

DFT

in

the

frequency

domain

to

interpolate

a

signal

in the

time

domain.

(Matlab)

Image

Processing: 03/15

• Reconstructing

CT

images

by

emulating

CT

filtered

backprojection

and

Fourier slice

theorem.(Matlab)

Data

Analysis

of

Development

of

Heart

Failure

Using

Noninvasive

Physiological Signals: 02/14- 06/14

• Feature

extraction:

include

ECG

R

wave

detection

and

PPG

onset

detection.

Then Using

different

pattern

recognition

methods

(SVM,

BP

neural

network)

to

predict the

probability

of

patients

develop

a

heart

failure.(Matlab) Data

Analysis

for

Online

News

Popularity

Prediction: 03/15

• Implemented

data

pre- processing

including

SVD

and

randomly

selecting

data

to training

set

and

test

set.

Training,

testing

and

validation

model

by

Random Forest,

Adaptive

Boosting,

logistic

regression

and

decision

tree.(Python) Socket

Programming: 11/14

• Simulating

an

online

medical

appointment

System

using

a

hybrid

architecture

of TCP

and

UDP

sockets.(C)

Contact this candidate