Dr. Jingshan Huang has contributed extensively to the fields of Data Science and Computational Life Science, with a particular emphasis on semantics, data analysis, and their applications in human genomics and transcriptomics. As a Professor at the University of South Alabama, he holds dual appointments in the School of Computing and the College of Medicine, where he bridges the gap between computational methodologies and medical applications. Dr. Huang earned his PhD in Computer Science and Engineering from the University of South Carolina, where he developed a strong foundation in computational techniques and their practical applications. Since joining the University of South Alabama in 2009, he has progressed from Assistant Professor to Associate Professor, and in 2021, he was promoted to Professor, reflecting his significant contributions to academia and research. His research interests lie at the intersection of data science and life sciences, where he explores innovative ways to analyze and interpret complex biological data. Dr. Huang's work in human genomics and transcriptomics has been instrumental in advancing our understanding of genetic information and its implications for human health. By leveraging computational tools, he aims to uncover new insights into the biological processes that govern life. In addition to his research, Dr. Huang is dedicated to teaching and mentoring the next generation of scientists and engineers. He is actively involved in curriculum development and has supervised numerous graduate students, guiding them in their research endeavors. His commitment to education and research excellence has earned him recognition within the academic community. Dr. Huang's contributions extend beyond academia, as he frequently collaborates with industry partners and research institutions to apply his findings in real-world scenarios. His work has been published in numerous peer-reviewed journals and presented at international conferences, showcasing his expertise and impact in the field.