Phong Bh. Nguyen
Postdoctoral Researcher @Computational Health Center Helmholtz Munich
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WORK HISTORY
Postdoctoral Researcher @Computational Health Center Helmholtz Munich
Munich, DE
Develope a resource-efficient pipeline in Python to fine-tune pretrained large language models (LLMs) for analyzing sparse longitudinal medical records. This pipeline is designed to efficiently handle incomplete and irregularly sampled clinical data, improving the model’s ability to extract meaningful patterns from complex patient histories. The method enables the identification of time-specific biomarkers, providing actionable insights for early intervention and personalized treatment strategies.
EDUCATION
Ludwig-Maximilians-Universität München
Master of Science - MS, Molecular Biology
International University - VNU HCMC
Bachelor’s Degree, Biotechnology
Ludwig-Maximilians-Universität München
Doctor of Philosophy - PhD, Computational Biology
ABOUT PHONG BH. NGUYEN
I am a bioinformatician and data scientist with a strong background in molecular biology, bioinformatics, and AI-driven biomedical research. My expertise lies in developing interpretable machine learning frameworks in Python and R, integrating multi-omic and clinical data for biomarker discovery to advance mechanistic understanding and therapeutic development for cancer, diabetes and cardiovascular conditions. I am experienced in building and maintaining computational pipelines for large-scale biomedical data analysis, including data engineering, quality control, integration, and visualization on high-performance computing (HPC) platforms. Through my work, I collaborate closely with clinicians, biologists, and computational scientists to drive interdisciplinary research in translational medicine, ultimately translating data-driven discoveries into real-world healthcare impact.
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