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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.

“CU Anschutz feels young, new, and exciting because of its investment in cutting edge researchers and facilities focusing on moving big data forward one step at a time.”

- Mayla Boguslav, PhD Candidate

Mayla Boguslav, PhD Candidate

“I chose the Computational Bioscience Program at UC Denver AMC because I wanted the freedom to explore non-traditional applications and approaches to solving complex biomedical problems. I feel very lucky; I have found advisors who challenge me, encourage me to take risks and view failure as an opportunity, and believe in me even when I don’t believe in myself.”

- Tiffany Callahan, PhD Candidate

Tiffany Callahan, PhD Candidate

“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

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 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.


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 data science.

Congratulations to Tiffany Callahan!

Congratulations to Tiffany Callahan, for being selected to present at St. Jude's upcoming 2020 St. Jude Future Fellow Research Conference (FFRC)!

Congratulations to Emily Mastej!

Congratulations to Emily Mastej, whose first-author paper "Identifying Protein-Metabolite Networks associated with COPD Phenotypes" will be published in the "Metabolites" journal!

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.

Ignacio Tripodi headshot

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