Computational Bioscience Program
The Computational Bioscience PHD Program brings a pioneering new approach to computation that advances human health and the molecular understanding of life.
REGISTRATION IS OPEN: 2020 CU ANSCHUTZ BIOMED EXPO | OCTOBER 12-16, 2020
Learn about our biomedical PhD programs | Speak with faculty and students | Receive tips for crafting a competitive application. All participants will receive an application fee waiver.
I came to CU Anschutz for the outstanding faculty, training opportunities, and of course, the mountains. The Computational Bioscience PhD program gave me the flexibility and training to discover my strengths and research interests. I get to study in the best possible environment that allows me to be productive and still go hiking, snowboarding, and rock climbing. - Callie Federer, PhD Candidate
Summer Fellowship Applications
Due to COVID-19, we will not run our annual summer internship program during summer 2020. Please check back next year for summer 2021! This paid program typically lasts from early June through late July. Applications are usually due on April 15th.
Students will participate in an 8-week summer research program that includes: Biology for computer scientists, Ethics for Biomedical Informatics, Scientific communication workshop and, Research rotation culminating in a presentation.
For complete information please see the
summer research program flyer. The application can be found here. Please contact Caitlin Moloney with any questions.
Congratulations to Jennifer Fouquier!
Congratulations to Jennifer Fouquier, Catherine Lozupone, Mike Shaffer and Elmar Pruesse for their article published in Nature
QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science. Abstract
We present QIIME 2, an open-source microbiome data science platform accessible to users spanning the microbiome research ecosystem, from scientists and engineers to clinicians and policy makers. QIIME 2 provides new features that will drive the next generation
of microbiome research. These include interactive spatial and temporal analysis and visualization tools, support for metabolomics and shotgun metagenomics analysis, and automated data provenance tracking to ensure reproducible, transparent microbiome
Congratulations to Ignacio Tripodi!
Congratulations to Ignacio Tripodi, for winning the 2019 Edward Carney Award for Predictive Toxicology.
Presented September, 2019, by the American Society for Cellular and Computational Toxicology.
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