Artificial Intelligence for Science and Engineering
Dongyoung Kim
Dongyoung Kim, Ph.D.
Artificial intelligence professional
Data Analytics Laboratory, Samsung Life Insurance
Curriculum Vitae

Curriculum Vitae

Dongyoung Kim, Ph.D.


Dongyoung Kim, born at 1987.05.26, received his Ph.D. degree in Biomedical Engineering at Texas A&M University in 2016 . He worked as a researcher in Electrical Engineering and Computer Science at the University of Texas at Dallas for two years after his bachelor’s degree at the University of Texas at Dallas in 2012. He also received a Bachelor of Science degree at Kyungpook National University, Daegu, Republic of Korea.


Dongyoung Kim is currently focusing on developing new artificial intelligence (AI) modalities for science and engineering applications. He combined a range of AI technologies including supervised machine learning, deep neural network, generative adversarial network, and unsupervised machine learning to create AI agent performing biomedical research. He was worked on the optimization theory and the image processing in the big data applied for oncology and cell biology.


Dongyoung Kim is currently an Artificial Intelligence Professional at Data Analytics Laboratory, Samsung Life Insurance, Republic of Korea. He worked at Institute for Basic Science, South Korea as research fellow for three years. He was at Texas A&M University, The University of Southwestern medical center, and the University of Texas at Dallas studying for oncology, antibody engineering, and biomedical optics. He was a research assistant for the embedded software research center at Kyungpook National University during his bachelor’s degree. He had an internship program for EOS in Australia.


Artificial Intelligence / supervised & unsupervised machine learning /
deep neural network / generative adversarial network and more!

AI-powered transmitted light microscopy

Artificial Intelligence

In-silico fluorescence stains

Generative Adversarial Network

Cancer typing

Deep Neural Network

Finding tumor specific extracellular vesicles

Machine Learning

Urinary tract infection diagnostics

Deep Neural Network

Extreme rare cancer diagnosis

Generative Adversarial Network

In-silico histology stains

Generative Adversarial Network

High definition medical image recovery

Generative Adversarial Network

Rapid medical image acquisition

Generative Adversarial Network

Contact ME!


Institute for Basic Science
Room 317H
UNIST Advanced Material Research Building 103
50 UNIST-Gil, Ulsan, Republic of Korea, 44919