The enigmatic working of a human body intrigued and inspired me to choose biology as my major in high school. However, as I began programming as a pastime after high school, I was enthralled by the capability to embody my imagination through programming. Thus, I dropped out of medical preparation school and enrolled in the Computer Engineering degree. Ultimately, I developed an inclination towards Data Science and Machine Learning and resolved to apply the algorithms in the medical field.
Working at Deerwalk Inc. (currently Cedar Gate Technologies) bolstered my interest in Data Science and Machine Learning and gave me a new perspective. Initially, I worked on big-data manipulation and processing US healthcare data as a Software Engineer. Now, I am a Project Manager of two teams simultaneously: the Scrub Engine Team (the team in which I worked as a Software Engineer) and the Data Business Analyst Team. Both positions provided me with insights into the data analytics and medical industries, which helped solidify my visions.
Unlike my current company, which serves insurance companies, I intend to build a patient-centered program to increase medical accessibility in areas with minimal medical practitioners. Identifying the correlation of different symptoms with diseases, analyzing multiple reports such as CT scans to train machines, and suggesting appropriate medicines considering variables such as allergies are some areas I would like to research. Due to a delayed diagnosis owing to the prevalent pandemic, my mother's diabetic retinopathy worsened. This event bolstered my motivation and implied the exigency of such technology.
To cite a particular topic, I would like to research to generate simulated eye X-rays suffering from diabetic retinopathy and eventually train machines to perform Computer-Aided Diagnosis (CAD). Medical data are expensive and arduous to accumulate due to privacy issues. Thus, we could develop a system that diagnoses diabetic retinopathy patients with synthetic data generated by algorithms like a Generative Adversarial Network (GAN). To supplement these kinds of research, I also intend to foster my skills in image analysis and big data processing.
I believe the University of Maine would be an optimum choice to achieve my goals. The MS degree in Computer Science possesses the courses I want to build my expertise. Also, the emphasis given to research activities by UMaine reinforces my discretions.
The research interests of Dr. Terry S. Yoo seem to align with mine. Additionally, the research on Online Feature Selection of Big Data Sets and High-Dimensional Network Structure Learning With Applications in Biology by Dr. Salimeh Yasaei Sekeh piqued my interest. It would be an honor to work and concentrate under professors like Dr. Terry S. Yoo and Dr. Salimeh Yasaei Sekeh, which will improve my comprehension of the subject and give me the edge I need to turn into a fruitful scholar in this field.
I guarantee that my perseverance, persistence, and urge to excel would drive me to make an exceptional commitment to the University.
The enigmatic working of a human body intrigued and inspired me to choose biology as my major in high school.
However
, as I began programming as a pastime after high school, I
was enthralled
by the capability to embody my imagination through programming.
Thus
, I dropped out of
medical
preparation school and enrolled in the Computer Engineering degree.
Ultimately
, I developed an inclination towards
Data
Science and
Machine
Learning and resolved to apply the algorithms in the
medical
field.
Working at
Deerwalk
Inc. (
currently
Cedar Gate Technologies) bolstered my interest in
Data
Science and
Machine
Learning and gave me a new perspective.
Initially
, I worked on
big
-data manipulation and processing US healthcare
data
as a Software Engineer.
Now
, I am a Project Manager of two
teams
simultaneously
: the Scrub Engine
Team
(the
team
in which I worked as a Software Engineer) and the
Data
Business Analyst
Team
. Both positions provided me with insights into the
data
analytics and
medical
industries, which
helped
solidify my visions.
Unlike my
current
company
, which serves insurance
companies
, I intend to build a patient-centered program to increase
medical
accessibility in areas with minimal
medical
practitioners. Identifying the correlation of
different
symptoms with diseases, analyzing multiple reports such as CT scans to train
machines
, and suggesting appropriate medicines considering variables such as allergies are
some
areas I would like to
research
. Due to a delayed diagnosis owing to the prevalent pandemic, my mother's diabetic retinopathy worsened. This
event
bolstered my motivation and implied the exigency of such technology.
To cite a particular topic, I would like to
research
to generate simulated eye X-rays suffering from diabetic retinopathy and
eventually
train
machines
to perform Computer-Aided Diagnosis (CAD).
Medical
data
are expensive and arduous to accumulate due to privacy issues.
Thus
, we could develop a system that diagnoses diabetic retinopathy patients with synthetic
data
generated by algorithms like a Generative Adversarial Network (
GAN
). To supplement these kinds of
research
, I
also
intend to foster my
skills
in image analysis and
big
data
processing.
I believe the University of Maine would be an optimum choice to achieve my goals. The MS degree in Computer Science possesses the courses I want to build my expertise.
Also
, the emphasis
given
to
research
activities by
UMaine
reinforces my
discretions
.
The
research
interests of Dr. Terry S.
Yoo
seem to align with mine.
Additionally
, the
research
on Online Feature Selection of
Big
Data
Sets and High-Dimensional Network Structure Learning With Applications in Biology by Dr.
Salimeh
Yasaei
Sekeh
piqued my interest. It would be an honor to work and concentrate under professors like Dr. Terry S.
Yoo
and Dr.
Salimeh
Yasaei
Sekeh
, which will
improve
my comprehension of the subject and give me the edge I need to turn into a fruitful scholar in this field.
I guarantee that my perseverance, persistence, and urge
to excel
would drive me to
make
an exceptional commitment to the University.