
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
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
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
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
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
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
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
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














Scientific Advisory Board
Leading global advisors across RNA, Biotech and Molecular Biology

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.


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.


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


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


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


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.


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
