MIT Tehnology Review

Innovators Under 35

IU35
Korea

The leading global community of innovators, pioneers, and social changemakers in Korea

TOM DEASON

Korean innovators to change the future of human science and technology

Innovators Under 35 Korea honours the best young innovators from various industries. This award was finalized after interviews and screenings among young Korean talents in industries such as biotechnology, computer, robot, software and artificial intelligence.

We believe that those who received this award will grow into disruptive leaders of the future. They will show the world the direction of Korea's technological innovation and create more diverse opportunities for young talents.

Korea

Meet the Korean Innovators Under 35

The Innovators Under 35 Korea were chosen in 2022 from more than 200 applications including entrepreneurs, visionaries, and social activists. MIT TR Korea selected 12 innovators. Get to know the winners who continue to take on challenges in Korea and be inspired to become part of the change!

Youngeun Kim

Youngeun finds the key answer to address all the questions above lies in DNA

Jiwon Yune

Providing solutions for the safety of people and the environment

Jake Junkil Been

Junkil finds ‘The next generation neuro navigation system’ to solve brain diseases

Hyekang Roh

Hyekang solves treat mental disorders, such as insomnia with science and technology

Sungmin Nam

Using a robotic actuation system to provide a therapeutic effect in the context of muscle injury.

Mina Lee

Mina develops AI that can interact with users and enhance their productivity and creativity in the writing process.

Gangwon Jo

Gangwon makes it easier to build and utilize AI infrastructure at scale

Jihyun Lee

Jihyun focuses on robotics based automation with applications to advanced manufacturing technologies

Kyunkyu Richard Kim

Kyunkyu developed soft human skin-like electronic devices which are enhanced by AI algorithms

Eunwoo Song

Eunwoo first introduced a speaker-adaptive training method for the neural TTS system in Korea

Alan Joohyun Jo

Joohyun sought to understand the principles of AI and expand its role in the financial industry

Kyungmin Hwang

Kyungmin conducted research on miniaturization that can observe tissue microstructure

Kunwoo Lee

Developing innovative treatments for genetic diseases is my mission.

Hongyoon Choi

Hongyoon Choi has conducted research with the aim of bringing innovation to the diagnostic methods and drug development through technologies.

Joon-Nyung Heo

He launched a clinical data platform with a focus on empowering clinical researchers with efficient data collection and management.

Minhong Jang

Minhong develops AI solutions for precision diagnostics and therapeutics - finding the right diagnosis at the right cost and the right treatment for the right patients.

Taehyun Shin

Tae-Hyun used biocompatible ingredients of iron oxide and polysaccharide to develop one of the highest-resolution imaging agents.

Lucy Park

Lucy built an honorific-sensitive machine translation application of Naver in 2017, which gained popularity for many people learning the Korean language.

Jinsung Yoon

Jinsung tried to handle the special properties of the EHR and clinical applications and to construct end-to-end machine learning frameworks for clinical decision support.

YJ Jang

Jang built an algorithm that could predict student test scores with startling accuracy, and the more students follow the system’s recommendations, the higher the predicted score will climb.

Jieun Park

Jieun initiated her own venture, the world’s first AI-driven, global ocean platform targeting marine biodiversity hotspots to impacts of climate change to better prepare and protect themselves

Hyunsoo Kim

Hyunsoo provides automated tools for labeling image and video data up to 10 times faster than conventional manual and helps machine learning teams analyze training data efficiently.

Jake Yongjae Lee

Jake’s vision is to resolve global educational inequality and information asymmetry through AI. He connects all educational content and offer each student essential knowledge.

Kangyong Lee

Kang Yong Lee has developed Drop Free Glass, the world’s first electronic self-cleaning technology for optical sensors of autonomous vehicles with his colleague at Microsystems Lab.

Soonwon Choi

Professor Soonwon Choi is a young scientist working at the intersection of various fields of physical science, with his expertise spanning from condensed matter to quantum information.

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