Summary
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.
8 years of coding experience
Doctor of Philosophy - PhD, Virology, Doctor of Philosophy - PhD, Virology at Harvard University
California Institute of Technology