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


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

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

Learn more about our Research in the Department of Biomedical Informatics.
News
Jonathan Silverstein is presenting the Unified Biomedical Knowledge Graph at Bio-IT World Expo, Boston, April 2, 2025
Jonathan Silverstein is presenting the Unified Biomedical Knowledge Graph developed with Research Informatics Office Solutions Architect J. Alan Simmons at Bio-IT World Knowledge Graphs Symposium April 2. 2025. See: https://www.bio-itworldexpo.com/knowledge-graphs#2...
Uma Chandran with the Genomics Analysis Core team in Pitt’s 2023-2024 Annual Report.
Uma Chandran is featured with Pitt’s Genomics Analysis Core team in University of Pittsburgh 2023-2024 Annual Report. University of Pittsburgh 2023-2024 Annual Report Feature on Genomics - TURNING DATA INTO KNOWLEDGE FOR PRECISION MEDICINE Uma Chandran, research...
The Pitt-led PaTH Network awarded $13M to continue its research
The PaTH Network — led by Pitt’s Kathleen McTigue and Michael Becich (pictured) — was awarded $13,499,980 over four years to advance patient-centered research to address key health concerns of its communities. PaTH unites researchers, patients, caregivers, clinicians,...
Events
ANNOUNCEMENT: PhD Dissertation Defense and Final Examination by William Reynolds
ANNOUNCEMENT: PhD Dissertation Defense and Final Examination by William Reynolds of the School of Medicine Biomedical Informatics Graduate Program ****************************** Modeling Neurocognitive Outcomes and Growth Trajectories in Patients with Congenital Heart...
DBMI Colloquium Speaker – Ting Ye – April 11, 2025
Multivariable Mendelian Randomization in High-Throughput Experiments Ting Ye, PhD Biostatistics University of Washington Department of Biomedical Informatics Colloquium Series – Spring 2025 - 11:00 am – 12:00 pm407a/b BAUM5607 Baum BlvdPittsburgh, PA...
DBMI Colloquium Speaker – Rachel D. Melamed – April 4, 2025
Drug repurposing integrating genetics and causal graph models of health records Rachel D. Melamed, PhD Biological Sciences, Biomedical Engineering, Center of Biomedical and Health Research in Data Sciences (CHORDS) University of Massachusetts at Lowell ...