Summary
Rama Kaalia is a computational biologist and postdoctoral research associate at the Broad Institute with a decade of experience applying machine learning, predictive analytics, and chemoinformatics to multi-omics integration and biological network analysis. She combines strong programming skills in R, Python, Java, Perl and C with web application and database development to translate molecular interaction data into disease target predictions. Her work spans biomedical ontologies and familiarity with common wet-lab techniques, enabling effective collaboration between computational and experimental teams. A PhD-trained researcher from Jawaharlal Nehru Vishvavidyalaya based in Cambridge, MA, she balances rigorous research with a creative side as an avid fiction reader, traveler, and occasional blogger.
10 years of coding experience
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at Jawaharlal Nehru Vishvavidyalaya
B.Tech, B.Tech at Kurukshetra University
Senior Secondary (12th), Senior Secondary (12th) at Holy Cross Convent School, Delhi
English, Hindi