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Our Story

About

Vision, team, and platform trajectory

Our Vision

From One Mutation to a Platform

Arcivus began with a single patient, a single mutation in the SGCE gene, and a question: could computational biology chart a path to precision gene therapy for a disease with no approved treatment?

That question became a platform. The architecture being built (patient-specific genetic characterization, mutation-informed strategy selection, AAV vector optimization, and translational development) is not specific to DYT-SGCE. It is a framework for rare neurological disease.

Rare diseases are not rare in aggregate. Over 7,000 known rare diseases affect 300 million people globally. Most share a common pattern: a single gene, a known mutation, and no approved therapy. Arcivus is building the infrastructure to change that, one disease at a time.

Our Team

Leadership

Jongmin Lee

Jongmin Lee

Co-Founder & Research Lead

Computational biology researcher focused on AAV gene therapy for rare neurological disorders. Published work on striatal D2 receptor upregulation in myoclonus-dystonia. Building Arcivus to bridge the gap between rare disease genetics and translational therapy development.

Kevin Oh

Kevin Oh

Co-Founder

Pre-medical student in Korea with a passion for translational medicine. Co-founding Arcivus to advance AAV gene therapy research and bring precision treatments closer to patients with rare neurological diseases.

Roadmap

Platform Trajectory

Discovery

n-of-1 Proof of Concept

Develop and validate AAV-SGCE gene replacement for a single patient. Build the computational and experimental pipeline.

Preclinical

SGCE Expansion

Generalize the pipeline to other DYT-SGCE patients with different mutation architectures. Vector optimization.

Translational

Monogenic Neuro Platform

Extend to other monogenic movement disorders and rare neurological diseases with analogous therapeutic logic.

Platform

AI-Driven Gene Therapy

Computational mutation analysis, automated construct design, patient-matched AAV delivery optimization.