Summary
Jiawei H is a research scientist with 9 years of experience applying deep learning, epidemiologic modeling, and big-data engineering to global health problems. Based in Beijing and working at IHME, Jiawei has led Gates Foundation-funded geospatial HIV mapping at 5×5 km resolution and hybridized mechanistic SEIR priors with transformer models to improve epidemic forecasts. He combines hands-on ML skills (LLM fine-tuning with PEFT and quantization, DeepSpeed, TabPFN, Chronos) with statistical rigor (Gaussian Markov Random Fields, boosted regression trees, Lasso/XGBoost) and has reengineered forecasting pipelines for 100× computational gains. Fluent in English, French, and Chinese, Jiawei translates complex research into policy-relevant insights and supervises cross-disciplinary teams. A less obvious strength is his knack for benchmarking foundational models from first principles—building GPT-2 from scratch and fine-tuning large open models—to both validate and accelerate applied public-health modeling.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Global Health Metrics, Doctor of Philosophy - PhD, Global Health Metrics at University of Washington
Bachelor's degree, Hydrology and Water Resources Science, Bachelor's degree, Hydrology and Water Resources Science at Wuhan University
English, Chinese, French