Summary
Maryam Hayati is an independent researcher and AI/ML consultant with nine years of experience applying machine learning and statistical modeling to infectious disease and precision medicine problems. She bridges computational biology and applied AI—developing maximum likelihood and phylodynamic models for hospital- and population-level transmission, and integrating multi-omics, EHR, phylogenetic, and imaging data. Recently she has expanded into large language models and agentic AI, building multi-agent systems for autonomous literature retrieval and using DNABERT embeddings with epigenomic annotations to classify variant pathogenicity. Comfortable in R, Python, MATLAB and HPC environments, she combines deep theoretical grounding with practical pipelines that handle noisy biomedical data at scale. Based in Bellevue, WA, she brings a track record of translating complex biology into actionable public health insights and prototyping real-world AI systems.
9 years of coding experience
5 years of employment as a software developer
Master of Science (M.Sc.) Mathematics and Computer Science, Master of Science (M.Sc.) Mathematics and Computer Science at Sharif University of Technology
University of Michigan
Bachelor of Architecture (B.Arch.) Architecture, Bachelor of Architecture (B.Arch.) Architecture at University of Tehran
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Simon Fraser University
Persian, English, French