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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Apply to DBMI

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

News

Events

DBMI Colloquium Speaker – Li Zhou – November 22, 2024

Beyond Mortality Prediction: Leveraging Machine Learning to Predict Palliative Care Needs in Patients with Chronic Diseases  Li Zhou, MD, PhD  Harvard Medical School    Department of Biomedical Informatics Colloquium Series – Fall 202411:00 am – 12:00 pm407a/b...

DBMI Colloquium Speaker – Peter Koo – November 15, 2024

Interpreting rules of gene regulation learned by deep learning  Peter Koo, PhD  Cold Spring Harbor Laboratory    Department of Biomedical Informatics Colloquium Series – Fall 202411:00 am – 12:00 pm407a/b BAUM5607 Baum BlvdPittsburgh, PA 15206

DBMI Colloquium Speaker – Huilin Li – November 8, 2024

Microbial Causal Mediation Inference with Microbiome/Metagenomic Data Huilin Li, PhD Department of Population Health NYU Grossman School of Medicine    Department of Biomedical Informatics Colloquium Series – Fall 202411:00 am – 12:00 pm407a/b BAUM5607 Baum...