CMU Computational Biology Department

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CMU Computational Biology Department We seek to realize the potential of machine learning for expanding our understanding of complex biol

The Computational Biology Department at Carnegie Mellon University seeks to realize the potential of machine learning for expanding our understanding of complex biological systems. A primary goal of the department is to develop computational tools that will enable automated creation of detailed, predictive models of biological processes, including automated experiment design and data acquisition. We anticipate that these efforts will not only lead to deep biological knowledge but also to tools for individualized diagnosis and treatment of cancer and other diseases. The Computation Biology Department builds on the strong history of computational and interdisciplinary research at Carnegie Mellon.

Assistant Professor, Martin Zhang, has received a multiyear NIH grant to harmonize genomic datasets to target the root c...
10/13/2026

Assistant Professor, Martin Zhang, has received a multiyear NIH grant to harmonize genomic datasets to target the root causes of disease

Read more: https://tinyurl.com/52j2rd8p

09/22/2026
RSVP to attend the Graduate Programs Fair 📍TCS Hall Atrium📅 October 7, 2026; 12-4pmRSVP today to save your spot: https:/...
09/14/2026

RSVP to attend the Graduate Programs Fair

📍TCS Hall Atrium

đź“… October 7, 2026; 12-4pm

RSVP today to save your spot: https://forms.gle/Pgu1ezbpT95mtijx9

An Introduction to String Algorithms by Carl Kingsford releases today (May 19, 2026)! https://bit.ly/3PzFau5
05/19/2026

An Introduction to String Algorithms by Carl Kingsford releases today (May 19, 2026)!

https://bit.ly/3PzFau5

05/08/2026
Stephen Wu received the Allen Newell Award for Excellence in Undergraduate Research for his work project "Single-cell Ep...
05/06/2026

Stephen Wu received the Allen Newell Award for Excellence in Undergraduate Research for his work project "Single-cell Epigenetic Analysis of Bipolar Disorder."

Stephen is a graduating senior in the Ray and Stephanie Lane Computational Biology Department, advised by Associate Professor Andreas Pfenning.

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