The Department of Biomedical Informatics, University of Pittsburgh School of Medicine, is improving clinical care and biomedical research via innovative applications in data mining, text processing, AI/machine learning, and biosurveillance.

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Certificate, Master’s & Doctoral Programs: Our program is designed to combine rigorous and in-depth research training with flexibility to tailor your program with elective courses from across the University.

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Postdoctoral Fellowship & Summer Internship: Enhance your research training and gain the additional skills you need for a successful academic career.

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Undergraduate Research: The Accessible & Inclusive Biomedical Informatics & Data Science (AIBIDS) is a full-time 10-week internship in informatics/data science under a faculty member or trainee at Pitt or Gallaudet University.

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Biomedical Informatics Training Opportunities!

The University of Pittsburgh’s Biomedical Informatics Training Program offers exciting opportunities in the applications of machine learning, artificial intelligence, and biomedical informatics through a range of degree and non-degree options:

Certificate in Biomedical Informatics
Masters Degree (MS) in Biomedical Informatics (including post-doctoral MS)
Doctoral Degree (PhD) in Biomedical Informatics
MS or PhD in Intelligent Systems – Biomedical Informatics Track
MD/PhD in Biomedical Informatics
Non-degree Postdoctoral Training

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Learn more about our Alumni in the Department of Biomedical Informatics.

Alumni

Learn more about our Training Program in the Department of Biomedical Informatics.

Training Program

Learn more about our Research in the Department of Biomedical Informatics.

Research

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Events

DBMI Colloquium Speaker – Gamze Gursoy – December 2, 2022

  Dr. Gamze Gursoy, Columbia University, Addressing the Challenges of Precision Medicine with Scalable Privacy-Preserving Technologies,  December 2, 2022, University of Pittsburgh Biomedical Informatics Lecture Series, Fridays 11:00 AM-12:00 Noon EST...

DBMI Colloquium Speaker – Jinling Liu – November 18, 2022

Dr. Jinling Liu, Missouri University of Science & Technology, A Complementary Approach to GWAS in Identifying Genomic Variants in Complex Trials,   November 18, 2022 University of Pittsburgh Biomedical Informatics Lecture Series Fridays 11:00 AM-12:00 Noon EST...

DBMI Colloquium Speaker – Peng Qiu – November 11, 2022

Dr. Peng Qiu, Georgia Tech University, Quantifying the clusterness and trajectoriness of single-cell RNA-seq data. November 11, 2022 University of Pittsburgh Biomedical Informatics Lecture Series Fridays 11:00 AM-12:00 Noon EST https://pitt.zoom.us/j/91656899685...