Anthony is one of the co-founders and CEO of Lunit. In 2014, he received his PhD in Electrical Engineering from KAIST. During his graduate study, he organized a deep learning research group with fellow KAIST student researchers, which eventually became the foundation for Lunit. He is a multidisciplinary researcher with internationally recognized expertise in the fields of deep-learning-based image recognition and semiconductor design.

Jungin has over 8 years of experience working as a full-stack programmer including iOS, android, web and game. He received his BS and MS degrees in Computer Science from KAIST. Based on his extensive experience as a developer and deep interest in research, he incorporates UI/UX into Lunit's deep-learning-based algorithm to build the overall system in the form of completed products.

Minhong runs business development at Lunit. Previously, he devised online business strategies and analyzed customer behavior in the Home Health Department at InBody, Inc, the worldwide leader in body composition technology. Minhong received his BS in Materials Science and Engineering and MS in Management Engineering from KAIST.

Beomseok studied medicine in Seoul National University College of Medicine and is a board certified physician in Family Medicine, trained at Seoul National University Hospital. Prior to medical school, he graduated from KAIST with a bachelor’s degree in Biological Sciences. He has also received master’s degrees in both Public Health (MPH) and Business Administration (MBA). Beomseok has a deep passion for medical research with much experience in both basic and clinical research, having published many articles in world-renowned journals like Hepatology and Annals of Oncology. His role at Lunit is to supervise the engineering team in accordance to actual clinical settings and direct the business development process to properly address market needs.

Kyunghyun, one of the co-founders, is a senior research engineer at Lunit. During his graduate study at KAIST, he conducted research on various computer vision areas including multi-view geometry, and object recognition with deep neural network. Based on his expertise, he participated in ILSVRC two times in 2014 and 2015, and won 7th and 5th place for the cls-loc task, respectively.

Sunggyun is a PhD candidate in Industrial and Systems Engineering at KAIST. Before joining Lunit as a research scientist, he focused on stochastic process for product pricing and machine learning for problems, which are related to operations management and computer vision. He is currently interested in any problem that can be solved with data.

Donggeun received his BS and MS degree in Electrical Engineering at KAIST. He is a PhD candidate at KAIST but decided to take time off to join Lunit. With Team Lunit-KAIST, he participated at ILSVRC, ranking 5th place at the main task. He was invited to ILSVRC'15 workshop to give a talk on the method, which was selected as one of top 3 novel localization approaches. During his internship at Adobe Research in the US, he worked on large-scale video representation learning. His research interest includes representation learning, unsupervised learning and large-scale learning, for visual recognition.

Hyo-Eun received his PhD degree in Electrical Engineering from KAIST in 2013. Previously, he worked at Samsung Electronics, where he was involved in developing 2D/3D graphics IPs of mobile AP products. At Lunit, he develops medical image analysis applications based on computer vision and machine learning techniques. His research interests include computer vision algorithms based on neural networks, cache architectures of CPU/GPU, and VLSI implementation of low-power multimedia processors.

Sangheum joined Lunit after working at Samsung Advanced Institute of Technology for three years where he developed machine learning algorithms for materials informatics. He has a PhD in Industrial and Systems Engineering from KAIST with a focus on robust kernel-based learning. His research interests are in the areas of statistical learning methods, kernel machines and deep learning.

Hyemin graduated with a BFA in Graphic Design from Rhode Island School of Design. Prior to Lunit, she worked at MITx as a visual designer and participated in a startup team that created open online courses from MIT. At Lunit, she works on branding, UI design, and all creative artwork.

Minjae received his BS degree in Electrical Engineering from KAIST. He has been working as a software developer for 5 years and his skill sets are specialized in backend technologies such as network, database, and distributed systems.

Leo received his BS in Industrial Engineering, and studied financial engineering during his integrated Master’s and Ph.D program at KAIST. Prior to Lunit, he worked at NH Investment & Securities where he developed financial models for pricing derivatives as a quantitative analyst.

Gajin worked as a sales manager at TicketMonster, one of the leading e-commerce companies in Korea. When she later joined the Korea Business Angels Association (KBAN), she worked for a government project called TIPS (Tech Incubator Program for Startup), and participated in selecting startups and providing mentorship and R&D funds. Based on her experience, she handles the administration and government R&D projects at Lunit.

Seungwook received his Honours BSc in Computer Science from University of Toronto with a focus on artificial intelligence. Prior to joining Lunit, he worked as a software engineer at IBM and as a machine learning researcher at a startup company in Toronto. His research interests include solving natural language and computer vision problems using deep learning.

Dongjoo(Chris) received his Honours BSc in Computer Science from University of Toronto. Prior to joining Lunit, he was a researcher at Professor Hui Jiang's Machine Learning Lab, followed by Professor Graham Taylor's Machine Learning Lab. His research interests include solving natural language and computer vision problems using deep learning.

Jiyun previously worked as an office manager and sales administrator for several years in medical field. She was in charge of managing office environments and the documents regarding medical equipment KFDA, quality assurance, sales supports and sales administration. Her role is to support all members to do their best in their own position and make them feel comfortable to work.

Nayoung received her BS degree in Nursing and Business Administration from Korea University and is a Registered Nurse(RN), trained at Korea University Medical Center and other affiliated hospitals. At Lunit, she works on business development and regulatory affairs for medical devices in domestic and international healthcare industry.

Byungjae received his Master's degree in Computer Science from Inha University with a focus on object recognition using deep neural network. During his graduate study, he participated in ILSVRC 2015 and 2016, and won 2nd place for the VID task for two times. His research interests include machine learning, deep learning, and object detection.

Jaehong received his BS and Ph.D in Computer Science from Korea University. Before joining Lunit, he studied medical image processing focusing on image enhancement and GPGPU programming for developing real-time 2D/3D imaging system with Optical Coherence Tomography (OCT). His research interests include image normalization before training a machine and GPGPU programming for high-performance computation.

Cesc Chunseong Park received the MS degree at computer science & engineering from Seoul National University. He is a recipient of the NAVER, MS Fellowship and NVIDIA Deep Learning Contest Awards(Korea). His research interests include deep learning, computer vision, and natural language understanding.

Jaehwan received his bachelor and master’s degree in Computer Science from Postech. Prior to Lunit, he worked on computer graphics and image processing. He also has experience in professional programming for computer game.

Hyun Joon studied at University of Illinois at Urbana-Champaign as Computer Science major for BS degree. Then he received MS degree at Seoul National University. During graduate school, his main research focuses were big data related topics. Before joining Lunit, he worked at TmaxData for 2 years and mainly worked on big data and database related products.

SangYeob received his BSc in Computer Science from Yonsei University. Prior to Lunit, he worked for several startups as a full-stack web developer. He focuses on front-end engineering and contributed to open-source JavaScript projects such as React Native.

Geunyoung is a medical doctor and specialized in anatomical pathology. Prior to joining Lunit, he worked as a forensic pathologist in Korean Government and Drug Safety Physician at Samsung Bioepis, a biopharmaceutical company. Geunyoung also has experience in preclinical study during his residency training at Asan Medical Center. Based on his experience, he covers pathology area at Lunit. Geunyoung’s main interests include anatomical, toxicologic, and forensic pathology.

Minsung is a board-certified radiologist who studied medicine at the Catholic University of Korea, College of Medicine and trained at Catholic Medical Center(CMC). As Medical Director at Lunit, he connects his knowledge of medical imaging to machine learning while providing professional insight based on 6 years of clinical experience as a radiologist. He hopes to deliver quality products that affect conventional clinical decision-making process.

Will is a full-stack engineer with 7 years of experience. He worked for three software companies, mostly working on front-end and mobile apps. He has a passion to learn new skills and really enjoy challenging projects to lead and to share. He is currently interested in latest technology such as kotlin, react and polymer.


Jihoon Jeong received his MD from Hanyang University and PhD in Biomedical Engineering from University of Southern California (USC) Viterbi School of Engineering under the supervision of Dr. Daniel Farkas. He has been consistently pursuing his professional career at the intersection of technology and healthcare by serving in various roles including general physician, research scientist, book writer, professor, startup advisor and angel investor.

Kyunghyun Cho is an assistant professor in Department of Computer Science, Courant Institute of Mathematical Sciences and Center for Data Science at New York University (NYU). Previously, he was a postdoctoral researcher at University of Montreal under the supervision of Professor Yoshua Bengio after obtaining his PhD at Aalto University (Finland) in early 2014. Kyunghyun’s main research interests include neural networks, generative models and their applications, especially to language understanding.

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