Summary
Tara Anand is a PhD candidate in Biomedical Informatics at Columbia University specializing in causal inference for high-dimensional, real-world clinical data and knowledge representations like causal diagrams. With nine years of experience spanning academic research, teaching, and industry internships at Adobe and IBM, she builds reproducible algorithms and pipelines that bridge observational EHR analysis and actionable clinical decision support. Her dissertation work under George Hripcsak and Elias Bareinboim combines rigorous causal methods with practical mapping of drug and phenotype vocabularies, reflecting an unusual blend of systems-level programming and domain-savvy biomedical research. She also develops curriculum and mentors undergraduate computing fellows, emphasizing fairness and justice in computing—an indication of her commitment to responsible AI in healthcare.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA Computer Science Asian and Middle Eastern Cultures, Bachelor of Arts - BA Computer Science Asian and Middle Eastern Cultures at Barnard College
Doctor of Philosophy - PhD Biomedical Informatics, Doctor of Philosophy - PhD Biomedical Informatics at Columbia University
English, French, Persian