Chasing After Answers and Insights Locked Away In The Sheer Volume of Data

We Aspire to Solve The Most Critical Challenges that Face Humanity

AITRICS is taking on the ultimate role of giving everyone access to the power of data-driven health intelligence by developing advanced clinical solutions that will revolutionize our lives.

With a shared vision and a common purpose, passionate and dedicated professionals from diverse backgrounds came together to create the most exceptional team.

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Meet Our Team

Combination is better than either one alone.

Jinkyu is the co-founder and CEO of AITRICS. He earned his Bachelor’s and Master’s degrees in Computer Science from Seoul National University. Before he founded PIKL, a visual recognition AI software company, he had served in various capacities as a representative software engineer at Samsung Electronics for 6 years. Leading the group of software engineers, he was in charge of developing Web Runtime (WRT) and Specification of Common Web Service Platform for Samsung devices.

Jinkyu Yoo 
CEO, Co-founder

Jaeman earned his Bachelor's degree in Electrical Engineering, Computer Science and Mathematical Science from KAIST. Prior to joining AITRICS, he gained a diverse set of experiences working as a Technical Lead at DEVSISTERS. As the head of Software Development, he focuses on applying advanced technologies to our machine learning infrastructure and providing exceptional software solutions to real-world problems.

Jaeman An 
Senior Software Engineer

Jongtaek received his Bachelor’s degree in Electrical and Computer Engineering from Seoul National University (SNU). Prior to joining AItrics, he worked as a software developer at Unichal, where he improved the performance of character recognition dictionary (OCR dictionary). Jongtaek brought his proven skills and passion for healthcare to AITRICS and is currently developing an intelligent and intuitive software system for diabetes management solutions.

Jongtaek Choi
Software Engineer

He received his Bachelor's and Master's degrees from Yonsei University and Kookmin University, then finished MA Interaction Design Communication programme at University of the Arts London. Prior to joining AITRICS, he worked with various global teams like IBM, Dove, Qualcomm at Ogilvy Korea and worked as a senior product designer at Finda. At AITRICS, he is contributing to all facets of design to create visually engaging and innovative products, while bringing his vision and concepts to life.

Youngjun Kim 
Product Designer

Gawon received a Bachelor’s degree in Global Eminence specialized in Law & Administration from Kyung Hee University. Prior to joining AITRICS, She has previously worked in medical Human Resources at DaumKakao and Business Operations at Seoul Scholarship Institute. With her passion for making precision medicine a reality, she joined AITRICS to manage the quality of service of Operations and maintain high Customer Experience standards.

Gawon Yun 
Operations Manager

Saehoon is a PhD in Computer Science at POSTECH with a primary focus on Machine Learning. While in a Ph.D. program, he has won WSDM'15 best paper runner-up, NAVER Ph.D. Fellowship, and POSTECH-Qualcomm Fellowship Awards. After serving as a research intern at Microsoft Research and MSRA, he joined AITRICS to develop high quality predictive models of critical events in ICU and general ward.

Saehoon Kim, Ph.D. 
Senior Research Scientist

Juho, Ph.D., is a renowned computer scientist and machine learning expert with a Ph.D. from Pohang University of Science and Technology (POSTECH). His research, resulting in several publications in top machine learning conferences including ICML and NIPS, mainly focuses on Bayesian Nonparametric Modeling and on leveraging it to develop clustering methods that are suitable for learning streaming data. At AITRICS, he plays a leading role in combining BNP and deep learning to build a new machine learning algorithm for Healthcare Data analytics.

Juho Lee, Ph.D. 
Research Scientist

Inhyeok obtained his Bachelor’s at Busan University and Master’s degree in Machine Learning at Pohang University of Science and Technology (POSTECH). His main research interest lay in a generative model, particularly in the area of developing various methodologies and applications of GAN. Previously, he has given Machine Learning lessons at Samsung Electronics and POSCO. He then joined AITRICS to advance predictive analytics ML models and data pre-processors to improve quality of critical care.

Inhyuk Cho 
Research Scientist

Donghyun received his Ph.D. in Computer Science at POSTCH. Before he joined AITRICS, he has previously worked at Microsoft Research Asia (MSRA) and Adobe Research in U.S. as a research intern. His research interests include recommender systems, deep learning and natural language processing, with publications at top conferences in data mining including in KDD, WWW, ICDM and RecSys. At AITRICS, he is developing deep learning models for machine reading comprehension with application to medical text analysis.

Donghyun Kim, Ph.D. 
Research Scientist

Yejin received a Bachelor’s degree in Visual Communication and Design from Seoul Women’s University. She has been interested in the area of Digital Product Design focusing on UX/UI and Interaction Design. At AITRICS, she is enhancing the value of AITRICS’s products conceptually and visually by using UI/Graphic design.

Yejin Choi
Product Designer

Sungju Hwang is the Co-founder of AITRICS and Assistant Professor in the School of Computing at KAIST. He received his Ph.D. in Computer Science from the University of Texas at Austin, followed by joint-research with Professor Fei Sha at University of California in Los Angeles and postdoctoral fellowships with Dr. Leonid Sigal at Disney Research. At AITRICS, he leads a research group at the forefront of the development of Medical Artificial Intelligence in Healthcare.

Sungju Hwang, Ph.D. 
Research Scientist, Co-founder

Youngchul has Bachelor’s and Master’s degrees in Data Mining from Pohang University of Science and Technology (POSTECH). He has previously worked at NAVER corp., where he specialized in logic modeling using ML techniques. As a research scientist at AITRICS, he manages healthcare datasets and plays a crucial role in developing ML-based monitoring systems in the Intensive-Care Unit. His ultimate goal is to improve quality of care for patients analyzing thousands of complex medical records.

Youngchul Sung 
Research Scientist

Minseop has Bachelor's degree in Electrical Engineering from Sunkyunkwan University and Master's degree in Computer Science and Engineering from Pohang University of Science and Technology (POSTECH). He has previously worked with Samsung Techwin, Samsung Electronics while in Samsung Software Membership, and served as a teaching assistant of Machine learning & AI at Samsung and POSTECH. His main research interests include, but are not limited to, One-shot learning, Meta-learning with deep learning.

Minseop Park
Research Scientist

Onnuri has a Bachelor’s degree in Psychology from Sungkyunkwan University. She previously worked as an administrative manager for several years at National Research Foundation and Industry-University Cooperation Foundation of Hanyang University. At AITRICS, she coordinates administration duties and maintains high levels of organizational effectiveness, ensuring the smooth running of all day-to-day operations. And she plays a key role in handling various R&D projects based on her good knowledge and experience.

Onnuri Lim 
Administrative Manager

Wonjoong received his Bachelor’s degree in Mechanical Engineering from Seoul National University. Before join to ATIRICS, he has worked as a sales & marketing manager of machinery manufacturing business. At AITRICS, as a sales manager, he is making sales goals and strategies, researching sales opportunities, monitoring market situation, and making good relationships with partners who wants to apply the AI to their business.

Wonjoong Paek
Sales Manager

Eunho Yang, Ph.D., is the Co-founder of AITRICS and Assistant Professor in the School of Computing at Korea Advanced Institute of Science and Technology (KAIST). He received his Ph.D. from the university of Texas at Austin and did his M.S. and B.S. from Seoul National University. Prior to joining KAIST, he served as a researcher at IBM T.J. Watson Research Center. At AITRICS, he directs a research group dedicated to developing statistical machine learning models for improved healthcare.

Eunho Yang, Ph.D.
Research Scientist, Co-founder

Yezina holds a Bachelor’s degree in English Literature from McGill University with a proven global competency. She has previously worked as an Associate Producer at CKuT 90.3 FM in Canada and served as a Global Marketing Manager at KINTEX, attracting European pavilions for the first time in Korea. Her primary focus at AITRICS is to promote international business while developing, implementing and executing marketing initiatives to drive overall business results.

Yezina Hong 
Marketing Manager

Jiyuu Yi has Bachelor’s and Master’s degrees in Computer Engineering from Sejong University and Pohang University of Science and Technology (POSTECH). During his Master’s degree, his research mainly focused on improving generalization performance of Deep Learning models in times-series classification and image classification. At AITRICS, he is in charge of developing data pre-processors and contributes to building machine learning models at the aspect of generalization performance.

Jiyuu Yi
Research Scientist

Jay has a Bachelor’s degree in Psychology from the University of Texas at Austin and is currently pursuing a Master’s degree in Computer Science at Ulsan National Institute of Science and Technology (UNIST). He has previously conducted studies on the relationships between human behaviors, thinking patterns, and reinforcement learning in the fields of clinical psychology and neuroscience for several years.

Jay Heo
Research Scientist

Our Advisors

Jinwoo Shin, Ph.D.
Scientific Advisor

Jinwoo Shin is currently an associate professor at the School of Electrical Engineering at KAIST, Korea. His current major research interest is on algorithmic questions for machine learning and related fields. He obtained the Ph.D. degree from Massachusetts Institute of Technology with George M. Sprowls Award and B.S. degrees from Seoul National University. After spending two years at Algorithms & Randomness Center, Georgia Institute of Technology, one year at Business Analytics and Mathematical Sciences Department, IBM T. J. Watson Research, he joined KAIST EE.

Yanwei Fu, Ph.D. 
Scientific Advisor

Yanwei Fu is an assistant professor (actually the rank of associate professor) at the School of Data Science, Fudan University, Shanghai China. His research includes attribute learning for image/video understanding, life-long learning, open set recognition, open-vocabulary object detection/retrieval, as well as some multimedia applications such as multi-view video summarization and image segmentation.

Cho-Jui Hsieh, Ph.D.
Scientific Advisor

Cho-Jui Hsieh is an assistant professor of Compute Science at UCLA at Fall 2018. He was a Ph.D. student at UT Austin working with Prof. Inderjit Dhillon. He received his master degree in National Taiwan University under supervision of Prof. Chih-Jen Lin. Before joining UCLA, he have worked as an Assistant Professor at UC Davis Computer Science and Statistics for three years, and was a visiting scholar in Google since summer 2018. He is interested in developing new algorithms and optimization techniques for large-scale machine learning problems. Currently, he is working on developing new machine learning models as well as improving the model size, training speed, prediction speed, and robustness of popular (deep learning) models.

Yongjae Lee, Ph.D.
Scientific Advisor

Yongjae Lee is an Assistant Professor in the Computer Science Department at UC Davis. Previously, he has worked as a Postdoctoral Fellow in the EECS Department at UC Berkely and in the Robotics Institute at Carnegie Mellon University with Alyosha Efros and Martial Hebert. He received his Ph.D. from the University of Texas at Austin. His research mainly focuses on developing robust visual recognition systems using the vast amount of unstructured images and video contents with minimal human supervision.

Myeongjae Jeon, Ph.D.
Scientific Advisor

Myeongjae Jeon is an assistant professor in the Department of Computer Science and Engineering at Ulsan National Institute of Science and Technology (UNIST). Before moving to academia, he spent years at Systems Research Group in Microsoft Research Redmond, working on advancing the state of the art in large-scale computing platforms supporting the major Microsoft services by making them more efficient, responsive, intelligent and programmable. In the context of machine learning plus systems, he has been working on scheduling deep learning workloads on multi-tenant GPU clusters to provide features like high efficiency, resource isolation, and fair sharing. He finished his Ph.D. in computer science at Rice University.

Interested In Joining Our Rapidly Expanding Team?

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Partners With Us

We work with partners including healthcare providers, academic research institutions and the pharmaceutical industry to develop our AI-powered solutions.

Please reach out to us if you are interested in implementing AITRICS engine, contributing new data or clinical insights to our research, or working with us to develop new innovative products.


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