Sicheng Hao is an Associate Researcher based in Boston with a decade of experience applying causal inference to clinical problems and education. He bridges academia and engineering through roles at Duke and MIT, where he has moved causal methods from large clinical databases into reproducible data engineering pipelines. His background in data science, bioinformatics, mathematics and statistics informs rigorous analyses including mediation and clinical trial data work performed at Brigham and Women’s and Beth Israel Deaconess. Colleagues value his ability to translate complex causal questions into tractable, production-ready analyses that support clinical decision-making and teaching.
10 years of coding experience
6 years of employment as a software developer
Master's degree Data Science and Bioinformatics, Master's degree Data Science and Bioinformatics at Northeastern University
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