Summary
Trevor Witter is a Staff Machine Learning Data Scientist with a decade of experience applying statistical and ML methods to large-scale healthcare and operational problems. He has built and deployed risk models that evaluate adverse outcomes for millions of patients, led MLOps and mentoring efforts at Healthfirst, and now applies his expertise at Valo Health. His background in cardiovascular physiology and biomedical signal processing gives him a strong experimental and domain-driven approach to modeling noisy, clinical datasets. Trevor has also solved non-healthcare challenges—from attrition prediction and organizational network analysis at Pfizer to NLP-driven customer-feedback pipelines on cruise-ship operations—demonstrating versatility across industries. He combines production-grade tooling (Python, R, SQL, TensorFlow/Keras) with a researcher's rigor, often translating complex probabilistic outputs into actionable business decisions.
11 years of coding experience
9 years of employment as a software developer
Master's degree, Health Sciences, Master's degree, Health Sciences at University of Otago
Bachelor of Science (B.S.), Human Physiology, Political Science, Bachelor of Science (B.S.), Human Physiology, Political Science at University of Oregon
Post Graduate, Health Science, Post Graduate, Health Science at Massey University
University of California, San Diego
Data Science, Data Science at The Data Incubator