Summary
Simona Cristea is a Director of Applied AI and computational genomics leader with a decade of experience applying LLMs and multi-modal machine learning to cancer prevention, diagnostics, and treatment. She has led interdisciplinary teams at Dana-Farber and Harvard, developing novel decoder LLMs (evoCancerGPT), scGPT adaptations, and probabilistic generative models to reveal tumor evolution, spatial immunology, and mechanisms of therapy resistance. Her work spans single-cell and spatial genomics, clinical trial data integration, and CRISPR/antibody screens, translating computational discoveries into translational research pipelines. Trained at ETH Zürich with influential tools like ModulOmics and TiMEx, she combines deep theoretical pedigree with pragmatic, clinical-facing AI deployments. Based in Boston, she brings a rare blend of probabilistic modeling, evolutionary thinking, and large-language-model engineering to tackle mechanistic questions in oncology.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Cancer Genomics, Doctor of Philosophy - PhD, Computational Cancer Genomics at ETH Zürich