Computational Oncology / Tumor Immunology
I work at the intersection of tumor microenvironment analysis, single-cell and spatial transcriptomics, and experimentally grounded bioengineering. My current portfolio combines network-based inference, signaling interpretation, and wet-lab training to study how cellular communication shapes cancer development and translational design.
Current Positioning
01 / Computational Oncology
My main computational thread studies tumor ecosystems through single-cell and spatial transcriptomic data, with emphasis on recurrent signaling circuits and conserved communication hubs.
02 / Methods
I use CellChat, NicheNet, CoVarnet reimplementation, spatial co-localization logic, and topology-aware centrality analyses to move from raw data toward biologically defensible hypotheses.
03 / Experimental Translation
My work is not limited to analysis. I also train in mutagenesis, lentiviral delivery, protein purification, and live-cell assays to connect predictions with measurable phenotypes.
04 / Research Style
I enjoy projects that move across code, literature, and wet-lab execution, especially when they require translating between biological mechanisms and computational structure.
2024 - 2026
Standardized scRNA pipelines across 10+ cancer types, integrated ligand-receptor inference, and identified conserved hub cell populations linked to pathway-level regulatory programs.
Compared phosphorylation-dependent versus KEOPS-complex-dependent functions using mutant design, lentiviral transduction, dTAG-mediated degradation, and Incucyte-based phenotyping.
Built a modular Bacillus subtilis adhesion scaffold with genome editing, SpyTag/SpyCatcher design, IPTG-induced protein expression, purification, and functional integration on material surfaces.
Expanded systems biology, genomics, and experimental research exposure through Peking University summer training and Westlake University academic programs.
Working Stack
Python, RStudio, VS Code, machine learning, and Linux bash workflows for reproducible analysis.
scRNA-seq, spatial transcriptomics, CellChat, NicheNet, CellPhoneDB, Biopython, Prokka, RAST, and BLAST.
PCR, Southern blot, Western blot, plasmid assembly, CRISPR workflows, protein expression, and purification.
My projects are structured to move from literature and computational screening toward validation-ready designs.
Sections
Education, honors, coursework, research interests, and a sharper view of my academic trajectory.
Selected projects, timeline context, and visual records from recent training and analysis work.
Core documents, presentations, reviews, and figure assets organized as a research-facing resource shelf.
Markdown-powered notes, reading logs, and project reflections hosted on a dedicated subdomain.
Email, website, GitHub, LinkedIn, and direct links to the latest CV and transcript.