Yan Mo | 莫 琰

Education

Master of Science in Computer Science

Stevens Institute of Technology

School of Computer Science

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Master of Science (GPA 3.59/4)

Beijing Institute of Technology

School of Medical Science and Engineering

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Bachelor of Engineering(GPA 3.47/4)

Beijing Institute of Technology

School of Medical Science and Engineering

Open Source Projects

• awesome-ai-persona-skills — GitHub
  100+ AI persona & skill collection for multi-agent system
• DirectorAgents — GitHub
  Multi-agent team with 31 top director roles for AI creation
• tianya-skills — GitHub
  Multi-agent decision system based on 20 senior expert roles
• Medical_AI_analysis — GitHub
  AI tools for medical data analysis

Academic Publications

• 0. Contribution and Clinical Significance of 3D and 2D Deep Learning and Radimoics Features Based on MR-T1W Images in Joint Diagnosis of Parkinson's Disease
  SSRN View Paper
• 1. Distinguishing nontuberculous mycobacteria from Mycobacterium tuberculosis lung disease from CT images using a deep learning framework
  European Journal of Nuclear Medicine View Paper
• 2. Simulation of the dose control for vascular targeted photodynamic therapy
  PROCEEDINGS OF SPIE View Paper
• 3. A Clinical Semantic and Radiomics Nomogram for Predicting Brain Invasion in WHO Grade II Meningioma Based on Tumor and Tumor-to-Brain Interface Features
  Frontiers in Oncology, 2021 View Paper
• 4. MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-Ray Images of Multiple Body Parts
  MICCAI 2022 View Paper
• 5. Different CT slice thickness and contrast-enhancement phase in radiomics models on the differential performance of lung adenocarcinoma
  Thoracic Cancer View Paper
• 6. Radiomics for differentiating minimally invasive adenocarcinoma from precursor lesions in pure ground-glass opacities on chest computed tomography
  British Journal of Radiology View Paper
• 7. Integrative Nomogram of Computed Tomography Radiomics, Clinical, and Tumor Immune Features for Analysis of Disease-Free Survival of NSCLC Patients with Surgery
  Journal of Oncology View Paper
• 8.An MSCT-based radiomics nomogram combined with clinical factors can identify Crohn’s disease and ulcerative colitis
  Ann Transl Med. View Paper

• Total 12+ SCI Indexed Papers | Citations over 250+
• Full Publication List: Google Scholar Profile

Profile Highlights

• 5 years professional experience in AI technical product management focusing on LLM, Agent and Multi-Agent system
• Led end-to-end iteration of hundred-billion and trillion-scale foundational large models
• Core expertise: Agent planning, Tool Calling, RAG, Multimodal, MoE architecture, long-context LLM
• Active open-source contributor to AI persona, multi-agent and medical AI projects
• Served top clients including Xiaomi, NIO, BYD, Weibo, major banks and automotive enterprises
• 12+ SCI papers in medical image & computer vision; Google Scholar citations over 200+
• Dual Master degrees in Computer Science and Biomedical Engineering

Core Competencies

• Large Model: LLM / VLM / MoE / 32K~128K long context model tuning & deployment
• AI Agent: Multi-Agent collaboration, Coding Agent, Working Agent, vertical AI IP agent design
• Product Pipeline: Data pipeline, training pipeline, model evaluation, API open platform operation
• Tech Background: Computer Science, Computer Vision, Medical AI, Deep Learning

Open Source Projects

• awesome-ai-persona-skills — 100+ AI persona & skill collection for multi-agent system
• DirectorAgents — Multi-agent team with 31 top director roles for AI creation
• tianya-skills — Multi-agent decision system based on 20 senior expert roles
• Medical_AI_analysis — AI tools for medical data analysis

Work Experience

Achievements

• 12+ SCI indexed papers focused on medical image analysis and computer vision
• Google Scholar citations over 200+
• Launched multiple large model versions and vertical AI agent commercial products
• Strategic cooperation with top banks, automobile and Internet enterprises