Seon Min Kim

All projects

16 projects in 4 groups. Filter by the role you are hiring for.

Regulatory & safety intelligence

Systems that turn regulatory and drug safety judgment into data and AI.

Clinical AI

AI that works with patient and clinical data, and how to judge whether it is ready for care.

Biomedical research & discovery

Omics, molecules and research evidence.

2025–26

Kidney transplant multi-omics

Brought four to five institutions together and integrated CyTOF, metabolomics and clinical data from kidney transplant patients. Findings are confidential pending a patent application.

ResearchCo-first authorPatent pending
28
Patients
2025–26

Scleroderma lung disease scRNA-seq

Single-cell analysis of about 120,000 cells from 30 samples of scleroderma-associated interstitial lung disease, mapping cell–cell signaling with CellChat.

ResearchManuscript in preparation
~120K
Cells across 30 samples
2025

NVIDIA × scverse GPU omics

Single-cell RNA and ATAC analysis on GPUs with RAPIDS, cuML and cuGraph. Invited participant, cuGraph lead.

InvitedHackathonTeam
13–26×
Faster than CPU, on up to 16,000 cells
2026

Prompt2Pump

Compares candidate drugs to exercise-mimicking signals using molecular embeddings and LINCS gene-set matching.

1st place, Track 5 TeamHackathonDrug discovery
1st
Track 5, Stanford Multi-omics Hackathon 2026
2025

MaxBind-AI

Built the training dataset from ChEMBL, PLINDER and PDBBind for a team project that placed 2nd at the UCSF QBI Hackathon and received follow-on funding.

2nd place TeamHackathon
$15K
Follow-on funding
2026

BioGraph Intelligence

From a PubMed search to extracted claims, support and conflict checks, research gaps and a knowledge graph, running on a local LLM.

SoloLocal LLM
2026

AuData

A research-integrity auditor that checks a single paper for statistical errors, numerical inconsistencies, figure manipulation and citation problems, with a human reviewing every flag.

TeamCollaboration
2026

SeaTRAC TB Hack Day

A one-day, multi-site hack day on tuberculosis clinical trial data, profiling how patients respond to drug treatment.

TeamHackathonR

Experimentation & analytics

Study design, causal inference and product data.