Simona Cristea

Director, Applied AI at Tempus AI

Boston, Massachusetts, United States
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Summary

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Senior
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Top School
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.
code10 years of coding experience
job7 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computational Cancer Genomics, Doctor of Philosophy - PhD, Computational Cancer Genomics at ETH Zürich
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Github Skills (11)

bioconductor9
bioinformatics6
single-cell-genomics6
genomics6
datasets6
cran6
ppi4
gene-expression4
seq3
rna-seq3
bayesian2

Programming languages (2)

RHTML

Github contributions (5)

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cbg-ethz/TiMEx

Jul 2015 - Nov 2018

Bioconductor package for finding mutually exclusive groups of alterations in large cancer datasets
Contributions:50 commits, 11 PRs, 24 pushes in 3 years 4 months
groupsexclusivefindingbioconductorcancer
Michorlab/tnbc_scrnaseq

Aug 2018 - Oct 2018

Contributions:51 commits, 8 PRs, 40 pushes in 1 month
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