Summary
Danh-tai Hoang is a Staff Scientist at the Cancer Data Science Lab, National Cancer Institute, bringing eight years of interdisciplinary research experience at the intersection of biomedical data science, machine learning, and theoretical physics. He progressed from postdoctoral roles in computational biology and mathematical modeling to a research fellowship at The Australian National University, developing quantitative approaches for complex biological systems. Trained with a PhD in Theoretical Physics from CY Cergy Paris Université, he combines rigorous theoretical grounding with practical data-driven methods to tackle cancer-relevant problems. Based in Bethesda, Maryland, he is known for translating advanced modeling techniques into actionable insights for biomedical research and for bridging academic rigor with government-led translational science.
8 years of coding experience
Doctor of Philosophy (PhD), Theoretical Physics, Doctor of Philosophy (PhD), Theoretical Physics at CY Cergy Paris Université