Conducted pharmacogenomic analysis on genomic data from 80 leukaemia patients at Stanford University Hospital to validate a personalised adverse drug reaction (ADR) prediction model, enhancing clinical decision-making tools.
Utilised R programming and bioinformatics tools, including BWA for sequence alignment, SnpEff for functional annotation of variants, and ANNOVAR for variant interpretation and prioritisation, in a Debian Linux environment.
Integrated clinical and genomic data from major US hospitals into the OMOP Common Data Model (CDM), leading to the successful market launch of the ADR prediction platform.
Employed advanced statistical methods, such as logistic regression, survival analysis, and ROC curve evaluation, to validate the predictive performance of the ADR model.
Gained a comprehensive understanding of the bioinformatics pipeline, clinical data integration, and the process of translating research findings into commercial applications, including regulatory compliance and product launch strategies.
Biomedical Analyst Intern
Seoul National University Hospital
Seoul, Korea
12.2022 - 02.2023
Conducted a genome-wide association study (GWAS) on 256 leukaemia patients from three major hospitals using the UK Biobank (UKBB) database.
Delivered a lecture during a genomic data analysis workshop, covering fundamental bioinformatics analyses and the utilisation of tools such as bcftools, SAMtools, and PLINK.
Developed and enhanced communication and teaching skills, leading to a deeper understanding of bioinformatics pipelines and the ability to convey complex concepts effectively.
Data Analyst
Korea Data Agency
Seoul, Korea
06.2022 - 08.2022
Directed the development of a machine learning model for Seoul's public bike-sharing system, analysing over 300,000 user records to optimise operational efficiency and improve user satisfaction.
Conducted image data analysis using 10,000 food images, leveraging advanced image processing and computer vision techniques to extract and evaluate dietary information.
Utilised Python for data processing, modelling, and visualisation, and SQL for efficient database querying and management.
Gained valuable leadership experience as a team leader, honing time management, project coordination, and effective communication skills to deliver results on schedule and foster team collaboration.
Biomedical Engineer Intern
KaiPharm
Seoul, Korea
12.2021 - 03.2022
Conducted comprehensive transcriptomic analysis, identifying 2,356 significant differentially expressed genes (DEGs)across various stages of macrophage differentiation.
Employed R programming within a Debian Linux environment for data preprocessing, DEG analysis, and statistical validation.
Developed and implemented robust visualisation pipelines, including heatmaps, volcano plots, and pathway enrichment diagrams, to elucidate key biological insights.
Performed advanced statistical analyses (ANOVA, p-value adjustment) to ensure the reliability and reproducibility of findings, contributing to the company's AI-based drug discovery initiatives.
Education
Bachelor of Science - Biology and Bioinformatics
Ewha Womans University
03/2018 - 08/2023
Master of Data Science - Bioinformatics and Biological Modelling
Durham University
09/2023 - 01/2025
Skills
Programming Languages: SAS (Proficient), R (Proficient), Python (Proficient), SQL (Advanced), C (Intermediate), Java (Intermediate)