bioinformatics stanford

Last Updated on January 17, 2023

The program in Biomedical Informatics emphasizes research to develop novel computational methods that can advance biomedicine. Students receive training in the investigation of new approaches to conceptual modeling and to development of new algorithms that address challenging problems in the biological sciences and clinical medicine. Students with a primary interest in developing new informatics methods and knowledge are best suited for this program. Students with a primary interest in the biological or medical application of existing informatics techniques may be better suited for training in the application areas themselves.

Graduate Programs in Biomedical Informatics

The Biomedical Informatics Program is interdepartmental and offers instruction and research opportunities leading to M.S. and Ph.D. degrees in Biomedical Informatics. All students are required to complete the core curriculum requirements, and also to complete additional course work to fulfill degree requirements and pursue their technical interests and goals as specified for each degree program.

The program can provide flexibility and can complement other opportunities in applied medical research at Stanford. Special arrangements may be made for those with unusual needs or those simultaneously enrolled in other degree programs within the University. Similarly, students with prior relevant training may have the curriculum adjusted to eliminate requirements met as part of prior training.

Biomedical Informatics Program Overview

The Biomedical Informatics Training Program is an interdisciplinary graduate and postdoctoral training program, part of the Biosciences Program at Stanford University’s School of Medicine. Our mission is to train future research leaders to design and implement novel quantitative and computational methods that solve challenging problems across the entire spectrum of biology and medicine. The program is flexible, and attracts applicants with training in biology, medicine, computer science, statistics, data science, engineering and related disciplines. Our faculty come from a wide range of departments, including Bioengineering, Biomedical Data Science, Computer Science, Genetics, Medicine, Pediatrics, Radiology, and Statistics.


Word cloud constructed from BMI PhD Abstracts, by Steve Bagley. Idea: Tomer Altman.

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