Members and advisors

Researchers working across medicine, machine learning, and computational biology.

VHL brings clinical-domain expertise and model development together around a long-term question: how should a computational model represent and predict a person’s changing biology?

Active members participate in current VHL research. Pre-active members are preparing to join active project work. Advisors provide domain expertise without holding governance authority unless separately admitted as members.

Affiliation notice

Institutions are listed only to identify each person’s professional background. They do not sponsor, endorse, supervise, or assume responsibility for VHL unless a written agreement states otherwise.

Current research team

Active member · Representative

Seung Jun Lee

MD; plastic surgeon.

LinkedIn
Active member

Seongjun Yang

PhD student at Cold Spring Harbor Laboratory.

LinkedIn
Active member

Gyubok Lee

SoftBank AI Researcher.

Profile

Preparing for active project work

Pre-active member

Seung Hyun Hwang

AI engineer at Gruve.

LinkedIn
Pre-active member

Seungwoo Ryu

AI engineer at Allganize.

LinkedIn

Clinical and scientific advice

Advisors contribute subject-matter guidance. They do not vote, represent VHL, or create an institutional relationship through their advisory role.

Clinical advisor

Prof. Jung-Sik Song

Rheumatology, Department of Internal Medicine, Severance Hospital; clinical focus in systemic lupus erythematosus and autoimmune disease.

Hospital profile
Scientific advisor

Prof. Eun-Ju Lee

Rheumatology, Department of Internal Medicine, Severance Hospital; clinical focus in arthritis and connective-tissue disease.

Hospital profile

Membership does not create authorship.

Authorship depends on scholarly contribution and responsibility for the work. Membership, seniority, funding, or advisory status alone is not sufficient.

Read the research practice

Start with a specific research question.

Introduce your background, the problem you want to work on, and relevant evidence of your experience. Do not send confidential or controlled data.

Contact VHL