Background

Experience

• Cedars‑Sinai, Research Assistant, Los Angeles, CA Aug. 2026 – Present
  Clinical AI: LLM/RAG phenotyping agent (CohortIQ) and multimodal deep learning on breast MRI.
• Columbia University, Valeri Lab, Data Science Research Assistant, New York, NY Apr. 2025 – Aug. 2026
  Causal mediation pipelines and a multi‑timepoint mediator function for the CMAverse R package.
• Columbia University, Ogden Lab, Research Assistant, New York, NY Oct. 2024 – Aug. 2026
  Automated biomedical image processing and shape analysis of 650+ biological objects.
• Bristol Myers Squibb, Data Analyst, Phase 3 Major Depressive Disorder Trial, Chicago, IL Jun. 2023 – Aug. 2023
  Interactive R Shiny dashboard for a 280‑patient trial, adopted by clinical operations.
• IQVIA, Data Analyst, Phase 3 Acne Vulgaris Trial, Chicago, IL Aug. 2023 – Oct. 2023
  SAP‑compliant ANCOVA/CMH analysis pipeline for a 1,000‑subject trial.

Education

Columbia University, M.S. in Biostatistics Sept. 2024 – May 2026

University of Chicago, B.A. in Biology Sept. 2019 – Mar. 2023
Awards: Jeff Metcalf Fellowship Grant; Ecology and Evolution Undergraduate Research Fellowship (2x)

Skills

Machine Learning & AI: Predictive Modeling, Deep Learning (Medical Imaging, Foundation Models), LLMs/RAG, NLP, AI Agents, Feature Engineering, Model Evaluation

Statistics: Causal Inference & Mediation, Survival Analysis, GLM, ANCOVA, PCA, Bayesian/MCMC, Functional Data Analysis, A/B Testing

Programming & Tools: Python (pandas, scikit‑learn), R (tidyverse, ggplot2, survival, MatchIt), SQL, SAS, Git, Streamlit, R Shiny, LaTeX

Healthcare & Clinical: EHR/Claims Data, Patient Risk Stratification, Clinical Trial Analysis, HIPAA‑Aware Workflows

Languages: Mandarin (native), Japanese (fluent), Spanish (advanced), French (beginner)

Teaching

Teaching Assistant, Data Science I (Fall 2025), Columbia University Mailman School of Public Health.
Supported a class of 150+ master's level students in mastering R‑based data science workflows, including data cleaning, visualization, and reproducible research practices. Additionally, provided direct mentorship and technical support for 7 individual student projects.