I'm a PhD student at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, focusing on data-driven genome mining and functional small molecule discovery, particularly from endophytic fungi in ethnic medicine.
- Molecular Dynamics & Docking: Conducting simulations to understand molecular interactions.
- Genome Mining & Bioinformatics: Identifying biosynthetic gene clusters for natural product discovery.
- Machine Learning & AlphaFold2: Deploying machine learning in structural biology applications.
- Computational Biology: Molecular dynamics, docking, and structural biology analysis.
- Data Science & Machine Learning: Applications in genome mining and AlphaFold2.
- Scientific Writing: Published in top journals, including JACS and Angewandte Chemie.
- JACS (2023): Study on polyketide chain release mechanisms in fungal biosynthesis.
- Angewandte Chemie (2024): Insights into the biosynthesis of fungal depside Thielavin A.
- ACS Catalysis (2024): Investigation of noncanonical aromatization in polyketide biosynthesis.
- National Scholarship for Graduate Excellence (2023)
- First-Class Academic Scholarship (2022)
Feel free to reach out via email (h.xiang@siat.ac.cn) for collaborations or discussions on computational biology and natural product discovery.
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