Xubing Hao
Instructor at McGovern Medical School
Houston, Texas, United States
Summary
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Senior🎓
Top SchoolXubing Hao is an Instructor in Neurology at McGovern Medical School who builds clinical AI systems that turn messy biomedical data into interpretable, reasoning-ready representations. With a PhD in Biomedical Informatics and a decade of experience, he designs and deploys LLM-based pipelines—using LoRA/PEFT, RL post-training, RAG, and semantic reranking—to summarize EEG impressions and harmonize Alzheimer’s disease data across EHRs, claims, and research cohorts. He bridges theory and practice, moving from formal definitions and proofs to Python/Java implementations and clinician-facing evaluations, and often embeds ontology-driven tools to improve domain expert interaction with structured knowledge. Notably, he optimizes retrieval stacks (BM25 + LLM rerank) to boost recall without sacrificing clinical precision, demonstrating a pragmatic focus on real-world deployment and clinician alignment.
9 years of coding experience
6 years of employment as a software developer
Bachelor's degree Software Engineering, Bachelor's degree Software Engineering at Jilin UniversityDoctor of Philosophy - PhD Biomedical Informatics, Doctor of Philosophy - PhD Biomedical Informatics at UTHealth Houston
Github Skills (76)
queue10
filter10
micronaut9
redis-client9
api9
tomcat9
haiku9
publish9
redis9
spring9
grid9
logging9
undo9
json9
redisearch9
Programming languages (2)
Github contributions (5)
786991884/study-test
Dec 2016 - May 2017
study-test 互联网应用架构相关学习
Contributions:23 commits, 20 pushes, 1 branch in 5 months
spring-bootspringjava
786991884/electivesystem
Aug 2016 - Jan 2017
Contributions:3 commits, 2 pushes, 1 branch in 5 months
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