I'm SeonMin Kim — a health-focused data scientist with a regulatory background. After several years leading FDA/MFDS-related regulatory work in the pharmaceutical industry, I pivoted into data science to support healthcare teams with stronger evidence generation and data-driven decision-making.
🔬Research Overview
I'm pursuing my M.S. in Health Data Science at UCSF (expected May 2026), with a background in Pharmaceutical Sciences and Regulatory Affairs. My work connects patient-level clinical data with biomedical signals—particularly single-cell modalities like CyTOF and scRNA-seq.
At UCSF, I work with clinical and operational datasets paired with high-dimensional biomedical data. For my capstone, I’m analyzing CyTOF data from kidney transplant patients to identify immune cell signatures that differentiate acute rejection from stable graft function. I examine longitudinal changes across multiple post-transplant timepoints and apply statistical methods to identify patterns associated with rejection outcomes. I work closely with the transplant clinical team to ensure the findings are clinically meaningful.
I also spend time on scleroderma-related lung disease, integrating single-cell RNA sequencing with patient data. Here, I'm mapping out cell-to-cell communication networks in lung tissue to understand how immune dysregulation drives disease progression. The work is similar—finding patterns in messy biological data and collaborating with clinicians to figure out what actually matters for patient care.
🕒Recent Updates
2025 · NovGraduate Researcher, co-advised by the Sirota Lab and Monica Yang Lab at UCSF (single-cell RNA-seq analysis + scleroderma-related lung disease)
2025 · JunGraduate Researcher, co-advised by Sirota's lab and Sarwal's lab at UCSF (CyTOF + clinical data integration)
🗓️Education & Experience Timeline
EducationExperience
2025 – Present Current
Graduate Researcher — UCSF (Sirota Lab & Yang Lab)
Single-cell RNA-seq analysis
Analyzing scRNA-seq data to study cell–cell communication networks in scleroderma-related lung disease.
2024 – Present In progress
M.S. Health Data Science
University of California, San Francisco · Dept. of Epidemiology & Biostatistics
Capstone: multi-omics biomarker discovery for kidney-transplant rejection using CyTOF and clinical data, advised by Marina Sirota, PhD.
Jun 2025 – Present Current
Catalyst Summer Intern — UCSF Catalyst Program
Target Product Profile (TPP) development
Supporting strategic planning for MAC Copilot, a digital health decision-support tool for dementia care, and assessing market/regulatory feasibility with clinicians and researchers.
Integrating single-cell CyTOF with clinical data — preprocessing, metadata management, statistical analysis, and clinician collaboration.
Summer 2025
Educational Assistant — DATASCI 202, UCSF
Introduction to the Science of "Big Data"
Supported instruction, assignment grading, and office hours for a graduate-level health data science course; provided statistical and programming support to ~20 graduate students through weekly office hours and individual consultations.
Jun 2025 – Aug 2025
AI Product Evaluation Intern — UCSF Innovation Ventures Catalyst Program
Multimodal AI feasibility review
Evaluated AI diagnostic platforms for multimodal data integration feasibility; produced documentation and cross-functional review materials.
Feb 2021 – Feb 2023
M.S. Pharmaceutical Sciences
Yonsei University · Graduate Program of Industrial Pharmaceutical Science, Seoul
Thesis: comparability study of an EGFR/cMET bispecific antibody subject to manufacturing change, advised by Jin Hyun Jung, PhD.
Jul 2020 – Aug 2024
Regulatory Affairs Specialist — Chong Kun Dang Pharmaceutical
Global RA team
Managed biologic submissions and post-approval amendments; led cross-functional data alignment and lifecycle documentation for FDA/MFDS-facing filings.
Feb 2016 – Feb 2020
B.S. Life Sciences
Sogang University · Department of Natural Sciences, Seoul
Advised by H. Sean Lee, PhD.
Jan 2018 – Jul 2019
Research Assistant — Plant Gene Regulation Lab, Sogang University
Conducted molecular biology experiments to study gene regulation under salt stress, including cloning, transformation, and phenotypic analysis.
Jan 2019
Intern — SNP Genetics, Inc.
Supported genetic disease analysis using DNA sequencing and SNP genotyping; assisted with laboratory workflows and statistical analysis.
