Suhana Bedi
Research Intern at Treehub by AI Health Fund
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSuhana Bedi is a PhD student and consultant specializing in biomedical data science with six years of experience applying computational biology, biostatistics, and machine learning to healthcare problems. She transitioned from hands-on genomics research to building and evaluating foundation models for clinical insights, combining strong Python, Git, and pipeline engineering skills with domain expertise in multi-omics and clinical datasets. Her internships at Google and Microsoft produced scalable biomedical knowledge graphs and ML-ready pipelines that enabled advanced NLP and systems-biology analyses, reflecting a knack for turning complex biological data into usable AI assets. Based in San Jose, she balances rigorous research—co-advised at Stanford by leaders in biomedical AI—with practical product-minded work at OpenEvidence, aiming to move models toward real-world clinical impact. An understated strength is her history of building reproducible lab tooling (Snakemake, Jupyter frameworks) that accelerates collaborative research and model development.
6 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Data Science, Bachelor's degree, Data Science at The University of Texas at DallasDoctor of Philosophy - PhD, Biomedical Data Science, Doctor of Philosophy - PhD, Biomedical Data Science at Stanford University
French, English, Hindi
Github Skills (23)
commons10
language-model10
foundation-models10
python9
large-language-models9
multimodal9
helm9
documentation7
rna-seq7
gene-expression4
pipeline3
python-api3
sequencing3
breakpoints3
fusion3
Programming languages (7)
Github contributions (5)
suhana13/website
Jan 2022 - Aug 2023
Code for the Data Commons website
Contributions:142 pushes, 24 branches in 1 year 7 months
commonsdata-commons
suhana13/suhana13.github.io
Jul 2020 - Nov 2025
Contributions:7 pushes, 1 branch in 5 years 5 months
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