Jointly offered by the School of Computer Science and Mellon College of Science, the MS in Computational Biology equips you to interpret multi-omics data, design therapeutics, and model ecosystems. Rotations pair you with UPMC clinicians, CRISPR startups, or the Pittsburgh Supercomputing Center, while seminars tackle bioethics and data privacy. Graduates lead biopharma R&D, genomic AI, or PhD research at elite institutions.
Deep-variant caller optimized for ONT ultra-long reads
Graph-based assembly algorithm for metagenomic dark matter
Protein-structure prediction benchmark on orphan viral families
CRISPR off-target risk scorer integrating chromatin accessibility data
Multi-omics integration model predicting drug response in cancer lines
Synthetic gene-network design using reinforcement learning
Single-cell trajectory inference visualized with interactive Dash app
EHR-integrated polygenic-risk-score calculator for cardiovascular disease
Large language model mining biomedical literature for novel hypotheses
Population-genetics simulation of malaria gene-drive strategies
AI-assisted cryo-EM particle classifier reducing false positives
Bayesian network modeling microbiome–host interactions
Automated pipeline annotating structural variants in rare-disease cohorts
Ethics brief on genomic data sharing across borders
Citizen-science portal gamifying protein-folding puzzles
Compute, model, and heal with CMU’s interdisciplinary comp-bio master’s.
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