Haley Hunter-zinck is a Staff Data Scientist in San Francisco with eight years of cross-disciplinary experience applying AI and machine learning to medical informatics, genomics, and large-scale survey processing. She has a PhD in Computational Biology and a track record of moving research into production—fine-tuning transformer models for the U.S. Census, generating and validating synthetic EHRs at Berkeley, and leading multi-institutional data harmonization efforts in cancer and COVID projects. Haley combines hands-on model development (NLP, generative AI, multi-label and convolutional approaches) with engineering skills like web crawling and pipeline construction, and she’s led teams and mentored staff across federal and academic settings. Notably, she pairs deep domain expertise in clinical data privacy and validation with pragmatic delivery—building user-friendly Python tools and visualization apps that operationalize complex analyses.
8 years of coding experience
7 years of employment as a software developer
University of California San Diego
Doctor of Philosophy (Ph.D.), Computational Biology, Doctor of Philosophy (Ph.D.), Computational Biology at Cornell University
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