Our Team
The right problem attracts the right people.
Building an AI-native vertical system for clinical spectroscopy can’t be done by engineers alone. It requires depth across every discipline this problem touches.
Leadership
Co-CEOs leading from the intersection of medical science and business
Co-Founder & Co-CEO
Hyeong Hun Lee, Ph.D.
Leading global researcher in MRS AI quantification. Designed deep learning architectures that achieve 17-metabolite resolution from standard clinical MRI data.
Co-Founder & Co-CEO
Su Hyeok Song
Drives MRS go-to-market strategy and operations. Recognized by Korea's Ministry of Science and selected as a top entrepreneur in Siemens global collaboration program.
Core Team
Executing the vision.
Lead AI Research Engineer
Ilguk Seo
AI research engineer with proven track record in medical AI competitions. Leads the development of MRS AI quantification pipeline.
Co-Founder & Lead Developer
Jisu Kim
Brings large-scale platform experience from Naver and LINE. Architects and builds METLiT's cloud-native MRS analytics platform.
Advisory Board & Key Opinion Leaders
Guided by world-class expertise
World-leading MRS scientists and clinical experts from top global institutions guide METLiT’s technology and clinical strategy.
Co-Founder & Advisor
Hyeonjin Kim, Ph.D.
Professor, Seoul National University College of Medicine
Leading authority in MRS research. His decades of spectral analysis work forms the scientific foundation of METLiT's core quantification engine.
Scientific Key Opinion Leader
Peter B. Barker, D.Phil.
Professor, Johns Hopkins University School of Medicine
World's foremost authority in clinical MR Spectroscopy. Pioneered foundational methods in neuroimaging and spectral analysis over four decades.
Clinical Key Opinion Leader
Patrizia Mecocci, MD, PhD
Chair Professor of Internal Medicine, University of Perugia
Global leader in neurodegenerative disease research. Directs European multi-center dementia studies and brings extensive clinical trial expertise.
Medical Advisor
Jeong Hoon Lim, MD, PhD
Professor, National University Hospital, Singapore
Specialist in neurorehabilitation medicine. Leads clinical validation of MRS-based diagnostics across Southeast Asia.
Disciplines
Four pillars. One integrated team.
Medical physics, AI, engineering, and business — the system we’re building demands fluency across all of them.
Medical Physics & Clinical Science
MRS physicists, Spectral modelers, Radiologists, Neurologists
Deep understanding of MRS physics and clinical medicine — ensuring our AI is grounded in spectroscopic principles and every output is valid within real diagnostic workflows.
AI & Machine Learning
ML researchers, AI engineers, Data scientists
Designing agentic architectures and deep learning models purpose-built for spectral data — not generic models repurposed.
Software Engineering
Platform engineers, Cloud architects, DevOps
Building the infrastructure that makes AI-native MRS analysis scalable, reliable, and deployable across institutional environments.
Business & Regulatory
Regulatory strategy, Commercial operations, BD
Navigating the complex landscape of medical device regulation, institutional procurement, and global market strategy.
Build with us.
Whether as a collaborator, customer, or team member — there are many ways to be part of what we're building.