I am an undergraduate researcher in Biological Science at Xinjiang University. My research explores the intersection of Life Sciences and Computational Design (AI for Science).
I love biology — more is different.
My academic journey includes enriching experiences at Shanghai Jiao Tong University and Peking University through summer programs.
Research Interest: Synthetic Biology, Protein Language Models, and AI Agents for Science.
I am actively seeking academic collaborations, particularly in AI for Science, Computer Science (CS), and Quantum Mechanics (QM). Please feel free to contact me via email.
Email: Zhuangziyan0623@outlook.com
Location: Urumqi, China (To Jun, 2026)
Email / CV / Github / ORCID / Google Scholar
* denotes corresponding author.
A MATLAB-based toolbox developed for comprehensive protein sequence analysis. Key features include Smith-Waterman alignment, motif discovery, and neighbor-joining phylogenetic analysis. It provides integrated visualization to streamline the workflow from raw sequence to structural insights.
A mathematical model focusing on Diffusion-Adsorption-Uptake (DAU) mechanisms. This project facilitates the efficient application of predictive values obtained from wet lab experiments to control morphogen distribution patterns.
A Deep Learning framework utilizing Temporal Convolutional Networks (TCN) and Attention mechanisms to predict pest resistance evolution, bridging mathematical models with biological pest control strategies.
Participated in field research in the Northern Tianshan Mountains, using infrared camera technology to record and analyze the behavior and distribution of local wild animals. The visual above shows representative footage captured during the internship.
Participated in the summer school at the Institute of Natural Sciences, Shanghai Jiao Tong University, focusing on the application of artificial intelligence in bioengineering. Learned cutting-edge techniques including AI-driven protein design and computational biology workflows.
Participated in the summer school at the Center for Life Science (CLS), Peking University, exploring quantitative methods in biological research, including mathematical modeling of biological systems and data-driven experimental design.
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© 2025 Ziyan Zhuang. |