Ginny Z is a Senior Data Scientist and PhD in Biostatistics & Data Science with eight years of experience building ML and DL solutions across industry and academia, currently driving AI-powered PII anonymization at Fidelity. She has delivered impactful applied projects—from LSTM and GBM decoking predictions at Shell that unlocked large operational savings to BERT-based grant and collaborator recommenders and GNN research with publications at AMIA and Frontiers. Comfortable in Python, R, SQL and PyTorch/Keras, she combines strong statistical rigor with production-oriented engineering, including OCR/NLP pipelines and GPU-accelerated EHR modeling. Her multidisciplinary background in environmental engineering and biostatistics informs robust feature engineering and uncertainty-aware recommendations. Outside work she mentors a university ballroom team and brings the discipline of a competitive dancer to collaborative, cross-functional research and delivery.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.) with Honors, Energy and Environment Systems Engineering, 3.85/4; Math GPA 3.94/4, Bachelor of Science (B.S.) with Honors, Energy and Environment Systems Engineering, 3.85/4; Math GPA 3.94/4 at Zhejiang University
Doctor of Philosophy - PhD, Biostatistics and Data Science, Minor in Environmental Sciences, 4/4, Doctor of Philosophy - PhD, Biostatistics and Data Science, Minor in Environmental Sciences, 4/4 at The University of Texas Health Science Center at Houston (UTHealth)
Master's Degree(M.S.), Environmental Engineering, 3.82/4, Master's Degree(M.S.), Environmental Engineering, 3.82/4 at Carnegie Mellon University
Hong Kong University of Science and Technology (HKUST)
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