Xin Huang

Xin Huang is a researcher at the Faculty of Life Sciences, affiliated with the Department of Evolutionary Anthropology. Their work focuses on evolutionary genetics, particularly introgression, population genomics, and human evolution.

• Education: PhD in Life Sciences

Research Interests: Xin Huang’s research spans evolutionary anthropology, genetics, and population genomics. Key areas include introgression, natural selection, and genomic landscapes, with applications in computational biology, human evolution, and bioinformatics.

Recent publications highlight trends in adaptive introgression, machine learning for genomic analysis, and social-genetic diversity in early European farmers. These works emphasize collaborative, data-driven approaches to understanding human evolutionary history.

Activities: Xin Huang has participated in academic events like the 13th International Conference on Learning Representations (2025), 12th International Conference on Learning Representations (2024), and Probabilistic Modeling in Genomics 2024.