Van Dinh Tran

Dr. Van Dinh Tran is a scientist specializing in computational frameworks for precision medicine and therapeutic design. His work integrates multi-omics data and models biological systems to uncover disease mechanisms and identify clinically relevant biomarkers. He develops digital twin models to capture disease dynamics and simulate biological processes, enabling systems-level analysis of complex diseases.

His research leverages machine learning and graph-based approaches to extract insights from high-dimensional biomedical data and support translational discovery. Through this work, he contributes to bridging computational modeling and biomedical research to enable more targeted and mechanism-driven therapeutic development.

Computational frameworks for precision medicine and therapeutic design

Digital twin modelling for disease dynamics and simulation

Multi-omics data integration for disease mechanism and simulation

Graph-based modelling of biological systems

Disease-driving biomarker discovery and interpretation

Dr. Van Dinh Tran obtained his PhD in Computer Science with specialization in machine learning from the University of Padova, Italy. He then joined the University of Freiburg, Germany, as a postdoctoral researcher, where he developed machine learning models for a range of bioinformatics applications, including graph-based approaches for complex biological data.

He subsequently served as an Assistant Professor at King Fahd University of Petroleum and Minerals, Saudi Arabia. where he applied machine learning methods to biomedical problems, with a focus on multi-omics data integration and disease modeling. His work is centered on the development of computational frameworks for precision medicine and therapeutic design.