Undergraduate Researcher · Wuhan University
I am a Pharmacy and Computer Science undergraduate at Wuhan University working across viral genomics, protein engineering, and natural products research. My practice connects bioinformatics, structural reasoning, and wet-lab execution.
About
I am interested in how computational methods can make complex biological systems more legible, from conserved signals in viral genomes to structure-informed questions in protein science and metabolite discovery.
Across projects, I enjoy building bridges between algorithms and assays, data pipelines and experimental protocols, and exploratory research and reproducible scientific workflow. My dual training in pharmacy and computer science gives me both biological context and computational discipline.
I am most energized by work that treats computation not as an isolated layer, but as a practical tool for asking better experimental questions.
Research
These projects reflect my interest in combining computational reasoning with experimentally grounded biological questions.
Viral Genomics
Developing a scalable framework that combines RBH-based orthology, OrthoDB-scale annotation, and sequence-derived features to predict essential genes across 7,962 viral genomes.
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Structural Biology
Leading a dry-wet workflow that links variant design, predictive modeling, protein expression, and host-interaction analysis for Spike RBD variants.
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Natural Products
Investigated how co-culture activates silent biosynthetic pathways in a cicada egg-derived fungal strain and expands detectable secondary metabolite diversity.
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My workflow moves between sequence analysis, machine learning, structural modeling, purification strategy, and experimental optimization.
I am drawn to projects that demand both biological sensitivity and technical structure, where data curation, model design, and experimental reasoning reinforce one another.
Education
My academic path combines pharmaceutical training with computational study, which shapes how I approach biological research questions.
Coursework and training in cell biology, immunology, analytical chemistry, bioinformatics, computer-aided medicine design, natural pharmaceutical chemistry, and artificial intelligence in drug discovery.
Developing computational foundations for data analysis, algorithmic thinking, and scalable biological workflows.
Leadership
I value scientific communication, team coordination, and field-based learning alongside technical research.
Led a multidisciplinary field project on medicinal herb markets and ecological distribution; curated more than 30 botanical specimens, created the Jiuzhaigou Herbal Medicine Distribution Map, and helped develop a rapid TLC-based quality assessment method for Arnebia euchroma.
The project received Second Prize for university-level social practice (Top 5%).
Led the team to its best historical result, reaching the university top 16. Participated in more than 120 debate competitions, received Best Debater six times, and served as judge for six university-level debates.
These experiences strengthened my ability to lead teams, communicate evidence clearly, and work across disciplines.
Honors
Recent recognition reflects consistent academic performance, campus leadership, and sustained participation in research and field practice.
Contact
I am especially interested in conversations around computational biology, virology, molecular discovery, and undergraduate research collaboration.
Email is the preferred public contact method.
Lynxjiang@gmail.comI am especially interested in work that connects biological questions with computational structure and experimentally meaningful interpretation.