核心成员Core Members

团队Team

邱春燕 / Chunyan Qiu

邱春燕Chunyan Qiu

创始人 & CEO / CTO · 医学博士（1990 年生）Founder & CEO / CTO · MD, PhD (b. 1990)

教育背景与临床训练Education & Clinical Training

  • 中国南方医科大学临床医学八年制本硕博连读（MD-PhD），主攻肿瘤放射治疗方向。Eight-year combined MD-PhD program in Clinical Medicine at Southern Medical University (China), specializing in oncology radiotherapy.
  • 历任上海长海医院放疗基地规培医师、深圳市肿瘤医院住院医师，完成全癌种病区轮转，具备一手肿瘤多学科诊疗（MDT）与临床试验（GCP）实战经验。Former resident physician at Shanghai Changhai Hospital (Radiotherapy Base) and Shenzhen Cancer Hospital; completed rotations across all oncology wards with first-hand MDT and GCP clinical trial experience.
  • 德国 Witten/Herdecke University 交换生，具备跨国学术沟通能力。Exchange student at Witten/Herdecke University, Germany, with strong cross-border academic communication skills.

科研学术与创新成果Research & Innovation

  • 以第一/通讯作者发表 SCI 及中文核心论文 12 篇，参译专著 1 部，主持/参与国家自然科学基金及院内课题 2 项。12 SCI and core-journal papers as first/corresponding author, co-translated 1 monograph, and led/participated in 2 NSFC and hospital-level research projects.
  • 已申报中国医疗器械实用新型专利 1 项（2025 年）。Filed 1 Chinese utility model patent for a medical device (2025).
晨

张晨 博士Chen Zhang, PhD

医疗顾问 · AI 生信科学家Medical Advisor · AI Bioinformatics Scientist

教育背景与履历Education & Background

  • 清华大学本科（环境工程 / 计算机辅修）、新加坡国立大学 NGS 博士。B.Eng. from Tsinghua University (Environmental Engineering, CS minor); PhD from the National University of Singapore (NGS).
  • 曾任华大基因专项科学家（2020–2026），现任赛陆医疗资深生信科学家，精通单细胞多组学与 AI 生信大模型。Former BGI program scientist (2020–2026); currently Senior Bioinformatics Scientist at Sailu Medical, specializing in single-cell multi-omics and AI bioinformatics foundation models.

算法成果与技术突破Algorithm Achievements & Breakthroughs

  • 虚拟细胞 OCellus 框架：基于 LLM 通过 LoRA 微调，融合 27 个单细胞 / 空间转录组任务，Linear Probe 准确率达 95.1%（排名第一，超越 CellPLM、scGPT 及 Geneformer）。Virtual Cell OCellus Framework: LLM-based with LoRA fine-tuning, integrating 27 single-cell / spatial transcriptomics tasks; Linear Probe accuracy of 95.1% (ranked No.1, surpassing CellPLM, scGPT and Geneformer).
  • 扰动预测智能体：结合轻量图神经网络在 STRING v12 网络传播信号，扰动预测方向准确率达 99.8%（Pearson r = 0.945）。Perturbation Prediction Agent: lightweight GNN combined with STRING v12 network propagation signals; 99.8% accuracy in perturbation prediction (Pearson r = 0.945).