• Craniopharyngioma & pituitary tumors — basic and clinical research, with multi-omics dissection of the tumor immune microenvironment and clinical translation

• Public-database clinical epidemiology — cross-disease evidence generation

• LLM-assisted EEG analysis & data mining — auditable agents

• Interpretable AI framework — building bridges from multi-omics data to multi-dimensional clinical data with explainable modeling

• 颅咽管瘤、垂体瘤基础和临床研究 —— 聚焦多组学探究免疫微环境与临床转化

• 公共数据库临床流行病学 —— 跨病种证据生成

• LLM辅助的EEG分析与数据挖掘 —— 可审计智能体

• 可解释AI框架 —— 建立从多组学数据到多维临床数据的可解释建模桥梁

A unified methodology backbone running through all current projects:

Multi-omics data → Multi-dimensional clinical data → Interpretable AI framework

• Multi-omics layer — bulk / single-cell transcriptomics, epigenomics (e.g. m6A regulators), and immune microenvironment profiling
• Clinical data layer — public cohorts (NHANES / CHARLS / SEER) + hospital-based registries and CRF data
• Modeling layer — interpretable AI (SHAP, feature attribution) bridging molecular signals and clinical phenotypes
• Translation layer — biomarker discovery, prognostic modeling, and clinical decision support

所有当前项目都贯穿同一条方法论骨架：

多组学数据 → 多维临床数据 → 可解释AI框架

• 多组学层面 —— 批量/单细胞转录组、表观遗传（如m6A调控因子）、免疫微环境刻画
• 临床数据层面 —— 公共数据库队列（NHANES / CHARLS / SEER）+ 院内注册研究与CRF
• 建模层面 —— 可解释AI，连接分子信号与临床表型
• 转化层面 —— 生物标志物发现、预后建模、临床决策支持

• Alpha factor mining — designing, evaluating and iterating trading signals / factors from market data

• Technical timing & CTA signal systems — fractal / structural signal design for entry-exit timing

• Strategy backtesting — multi-asset (equities, futures, crypto) historical simulation with risk & exposure controls

• Cross-sectional asset pricing research — replication and evaluation of factor models on A-share data

• Market data pipelines — API ingestion, snapshot parsing, and structured storage (SQL) for tick / minute / daily bars

• Medium-low frequency strategies with paper / live CTA execution

• 因子挖掘 —— 基于市场数据设计、评估与迭代交易信号/因子

• 技术择时与CTA信号体系 —— 分型/结构化信号设计、择时进出

• 策略回测 —— 多资产（股票、期货、加密货币）历史仿真、风险与敞口控制

• 截面资产定价研究 —— 在A股上复现与评估开源因子模型

• 市场数据流水线 —— API接入、快照解析、结构化存储（SQL）、tick/分钟/日线数据

• 中低频策略与模拟盘/实盘CTA执行

Welcome to connect with peers in:

• Craniopharyngioma & pituitary tumors — basic research, immune microenvironment, clinical translation, multi-center registries
• Public-database clinical epidemiology — NHANES / CHARLS / SEER, cross-disease evidence generation
• LLM agents for biomedical research — auditable, reproducible analysis pipelines (e.g. EEG biomarker discovery)
• Quantitative finance & strategy research — alpha factor mining, technical timing & CTA signal design, multi-asset backtesting, A-share factor evaluation

欢迎与以下方向的同行交流：

• 颅咽管瘤与垂体瘤 —— 基础研究、免疫微环境、临床转化、多中心注册
• 公共数据库临床流行病学 ——跨病种证据生成
• 生物医学LLM智能体 —— 可审计、可复现的分析流水线
• 量化金融与策略研究 —— 因子挖掘、技术择时与CTA信号设计、多资产回测、A股因子评估