Apichat Suratanee is currently an Associate Professor in the Department of Mathematics at King Mongkut’s University of Technology North Bangkok, Thailand. He received his Dr. rer. nat. degree in Computer Science from Heidelberg University, Germany, in 2012. From 2006 to 2012, he conducted bioinformatics research at the Division of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), where he focused on developing computational methods for the analysis of high-throughput omics data. His research interests include bioinformatics, artificial intelligence, and data-driven approaches to systems biology, computational plant science, biomedical informatics, and personalized medicine. He is particularly interested in the development of machine learning models for genomic data analysis, gene network inference, and the integrative analysis of multi-omics datasets. In addition, his work involves the creation of computational tools for precision medicine, with an emphasis on applying advanced mathematical modeling to improve healthcare outcomes through individualized treatment strategies.