Louisa Zhang is a Senior Data Scientist in Pittsburgh with 11 years of experience applying machine learning to human and veterinary healthcare. She has designed and deployed disease prediction models that drive product adoption and laboratory conversion, and she led ontology standardization to harmonize clinical variables across disparate data sources. At IDEXX she built tools and frameworks—like an annotation system and a technology due-diligence process—that bridge clinical and engineering teams and accelerate AI readiness. Previously at the University of Pittsburgh she developed clinical decision support and deep learning models for intraoperative stroke detection while architecting cloud-based phenotype sharing and complex ETL pipelines. Her background blends big-data computer science and biomedical informatics training with business-facing impact, enabling pragmatic translation of research into production. Comfortable working across clinical, technical, and commercial stakeholders, she excels at turning messy clinical data into validated, deployable models.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.), Business/Commerce, Minor in Computer Science, Bachelor of Science (B.S.), Business/Commerce, Minor in Computer Science at Dickinson State University
Certification, Biomedical Informatics, Certification, Biomedical Informatics at University of Pittsburgh
Bachelor of Science (B.S.), Management Information Systems, General, Bachelor of Science (B.S.), Management Information Systems, General at Dalian University of Foreign Languages
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