Tham Hoang

Tham Hoang is a Researcher at Yale School of Medicine within the Biomedical Informatics & Data Science department. He holds a PhD in Computer Science and Engineering from the University of Connecticut (2018) and a BSc in Information and Communications Technology from Hanoi University of Science and Technology.

• Research focus: Biomedical Informatics, Computational Biology, and Precision Medicine
• Key contributions: Development of software frameworks for genomic analysis and drug interaction modeling

Research Interests: Tham Hoang specializes in integrating computational methods with biomedical data. His work includes pathway analysis for cancer genomics, predictive modeling for drug interactions, and population-specific genetic profiling to improve therapeutic outcomes. He has advanced tools for translational research in precision medicine.

• Scientific Awards: VEF Fellowship (2013)

Publications (2024, 2019, 2017) reflect expertise in machine learning, genomic data integration, and computational frameworks for disease modeling in cancer and post-COVID-19 treatment.