Eigen Bio
ABOUT

About Eigen Bio

Eigen Bio is building the intelligence substrate that medicine has always needed: a way to rigorously decode biological response in humans.

The most consequential decisions in drug development and patient care depend on understanding how biology regulates itself and how that regulation changes under disease and treatment. Today, most approaches can describe what biology looks like at a given moment, but struggle to predict what it will do next — how it will respond to an intervention, where resistance will emerge, or which patients will benefit. That gap between observation and mechanism is where the most expensive failures happen, and where the most important opportunities are missed.

Eigen Bio exists to close that gap. Our platform combines a regulatory foundation model with a mechanistic knowledge graph to model the regulatory relationships that govern biology — the connections through which genes, transcripts, proteins, and pathways control one another — and how those connections shift under intervention. The result is interpretable, mechanistically grounded biology: response programs, resistance patterns, biomarker hypotheses, patient stratification, and target opportunities that support higher-conviction decisions across drug development, diagnostics, and patient care.

The platform is pan-indication by design, supporting programs across oncology, liver disease, metabolic disease, autoimmune disease, and other complex conditions. It is built to work with partners' proprietary data within their own secured environments, so that the intelligence generated stays where strategic control belongs.

Building this kind of platform requires a team that is fluent across boundaries and relentlessly open and curious — scientists who think computationally, engineers who understand biological measurement, and translational leaders who hold the work to the standard patients deserve. Eigen Bio operates across San Francisco, Seoul, and New York with the rigor of a clinical laboratory and the urgency of a company that knows the stakes are real.

Team

World Class Multi-Disciplinary Team

Sang Lee

Sang Lee

CEO & Founder

Three-time founder, with a background as a data scientist and quantitative engineer. Author of Hamiltonian Biology and The Dark Genome, where he develops the first-principles framework for treating RNA as biology's universal causal interface.

Ryan Kim

Ryan Kim

Chief Intelligence Officer & Co-Founder

Repeat founder who translates frontier AI research into deployable biological and commercial systems. PhD candidate at Korea University with deep expertise in ML engineering and large-model training.

Kristin Gleitsman

Kristin Gleitsman

Chief Science Officer

RNA biologist with deep experience translating transcriptomic science into commercial programs at Guardant Health and Veracyte. Combines molecular biology depth with the program-building discipline required to run rigorous wet-lab science at scale.

Else Driehuis

Else Driehuis

Principal Scientist - Organoids

Organoid scientist trained in the Hans Clevers lineage, the laboratory that invented organoid technology. Deep experience translating tissue models into predictive drug response systems.

Beomsoo Kim

Beomsoo Kim

Chief Technology Officer

Machine learning engineer with deep technical range across foundation models, graph neural networks, and large-scale ML systems. Master's in Computer Science from KAIST.

David Cheong

David Cheong

Chief People Officer

Operator and talent leader with prior experience at GIC, McKinsey & Company, and Antler, spanning sovereign capital and early-stage venture building.

Hyunjin Kim

Hyunjin Kim

Senior Engineer

ML engineer with hands-on experience building and deploying production AI pipelines for biological data. Holds a Master's in Computer Science from KAIST.

Institutional Affiliations

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Stanford
Duke University
Utrecht University
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Institutional affiliation 9
Howard Hughes Medical Institute
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UMC Utrecht

Scientific Advisory Board

Leading global advisors across RNA, Biotech and Molecular Biology

Anna Pyle

Anna Pyle

Sterling Professor Yale University

Sterling Professor at Yale, HHMI Investigator, and member of the National Academy of Sciences. Past-president of the RNA Society and founder of RNAConnect and RIGImmune, now serving as President of the Telluride Science Foundation.

Yale University
Jung Boon Kim

Jung Boon Kim

Senior Pathologist Korea University Hospital

Senior Clinical Pathologist and molecular diagnostics specialist bridging tissue-level disease interpretation with next-generation sequencing and translational oncology applications.

Korea University Hospital
Kevin Morris

Kevin Morris

Chief Science Officer Gene Company

Pioneering RNA scientist at QUT who discovered in 2004 that non-coding RNAs can functionally control gene transcription in human cells

Gene Company
Mogan Gim

Mogan Gim

Professor HUFS

Specializing in AI-driven drug discovery, digital health, and precision medicine at the intersection of bioinformatics and cheminformatics.

HUFS
Patty Sung

Patty Sung

President & COO Intelligene

A rare bridge between deep biological science and global business execution, with foundational training in biochemistry and pre-clinical drug development

Intelligene
Rajyalakshmi Luthra

Rajyalakshmi Luthra

Professor of Hematopathology MD Anderson Cancer Center

Professor at MD Anderson who founded its Molecular Diagnostics Laboratory and helped pioneer the clinical adoption of cancer genomics in molecular pathology practice.

MD Anderson Cancer Center
Young Jun Jeon

Young Jun Jeon

Professor SKKU

A leading authority on RNA-based precision oncology — pioneering circulating tumor RNA and non-coding RNA as clinical signals for cancer detection

SKKU