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王学海 Applied AI Epidemiologist     进组时间: 2021

Nantong University Key Toxicology Lab Jiangsu, China
AI Project Manager, Supervisor: Prof. Xinyuan Zhao Sep 2022 - Present

1. Led the AI transformation in environmental epidemic data collection and analysis (lung disease specific).
2. Developed BKMR parallelization runtimes based on Conda and k8s.
3. Developed NHANES entire dataset for whole 30 years with vectorization and semi-automatic cleaning.
4. Developed TCGA and GEO cancer omic data with traditional data science skills for routine data exploration.
5. Developed MoE system for metal risk assessment for COPD.
6. Managed and coordinated the team for wet and dry experiment design and combination.

Chair of Cartography and Visual Analytics| Technical University of Munich Remote Contract
Junior Research Scientist, Supervisor: Prof. Dr.-Ing. Liqiu Meng May 2024 - Present

1. Construct the World’s 1st Framework for LLM spatial ability evaluation and optimalization.
2. Deploy Azure runtime for LLMs for dense and sparse arch (like llama and DeepSeek).
3. Develop LMsys pipeline to guide the better spatial performance of LLMs.
4. Lead the whole LLMs team to design adaption for GIS domain.

Key Laboratory of Population Health Across Life Cycle (AHMU), MOE| Anhui Medical University Anhui, China
Applied AI Epidemiologist, Supervisor: Professor Peng Zhu Feb 2024- Present

1. Lead the AI transformation in life cycle epidemic data collection and analysis.
2. Develop DenseArch for living environmental component segmentation.
3. Develop llama3.1 and Phi3.5 for Population Health records data cleaning.
4. Develop traditional data science skills for routine data exploration.
5. Transform meta data from ML model to integrate with the backgro und data.
6. Develop novel algorithms for human life cycle domain.