Alex Fang

Alex holds a PhD in cell biology, with a strong background in cancer research。He: -Stay current with cutting-edge AI/LLM research. Proficient in multi-GPU LLM pre-training and deployment, as well as post-training techniques including supervised fine-tuning (SFT), LoRA adaptation, model distillation, and reinforcement learning from human/AI feedback (RLHF/RF).-Experienced in building and deploying AI4science tools using Agent/MCP/skill frameworks, LangGraph, RAG, and harness engineering.-Senior expert in wet-lab and animal studies focused on tumor biology, with deep proficiency in a full range of cell and molecular biology techniques.-Skilled in Python/R programming, Linux server setup and administration, bioinformatics analysis, and single-cell/spatial transcriptomics workflows (Seurat, Omicverse).-Familiar with deployment, fine-tuning, and transfer learning of AI pathology models based on CNN, ViT, and CLIP; proficient in mainstream AIDD toolchains.