Sanjana Kulkarni

PhD Candidate

Boston, Massachusetts, United States
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Summary

👤
Senior
🎓
Top School
Sanjana Kulkarni is a computational biologist and recent PhD graduate from Harvard with eight years of experience applying bioinformatics, statistics, and machine learning to infectious disease and virology problems. She has built production-ready pipelines and deep learning models for genomic variant calling and antimicrobial resistance prediction, and has evaluated foundation models for single-cell RNA-seq in industrial settings at Merck. Her internships span vaccine analytics, biotherapeutics discovery, and pathogen genomics, demonstrating an ability to translate wet-lab questions into scalable computational solutions and interactive dashboards. Based in Boston, she combines rigorous academic training with hands-on engineering—often optimizing large sequencing cohorts and automating image and QC workflows—and brings a practical focus on reproducibility and deployment.
code8 years of coding experience
bookDoctor of Philosophy - PhD, Virology, Doctor of Philosophy - PhD, Virology at Harvard University
bookCalifornia Institute of Technology
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Github Skills (4)

static-analysis7
sensitivity-analysis4
python2
deep-learning2

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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farhat-lab/who-analysis

Sep 2022 - Feb 2023

Code used for WHO analysis work
Contributions:1 release, 337 commits, 429 pushes in 4 months
analysisstatic-analysis
Contributions:106 pushes, 1 branch in 27 days
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