Variant Evidence
Tumor-normal evidence, expression support, and MHC-I binding signals.
Bioinformatics · AI for Science · Biomedical Engineering
Bioinformatics Undergraduate · Harbin Institute of Technology
Building computational systems
for precision medicine.

About
I am an undergraduate student working at the intersection of bioinformatics, medical AI, and translational biomedical engineering. My current interests focus on neoantigen discovery, computational vaccine design, and biomedical data analysis.
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Featured Project
A reproducible computational workflow for candidate neoantigen identification, evidence-based ranking, primer feasibility assessment, robustness evaluation, and DNA-level validation using the HCC1395/HCC1395BL tumor-normal model.
Tumor-normal evidence, expression support, and MHC-I binding signals.
Evidence-based prioritization with tiering and robustness analysis.
Experimental readiness assessment for selected candidates.
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