# Integrated Interdisciplinary, inter-university PhD Program Computational Biology (T32)

> **NIH NIH T32** · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 2022 · $268,373

## Abstract

Project Summary
Computational biology has in a few decades transformed from a specialized discipline to one of the most
important enabling technologies behind modern biomedical research. There is no corner of biomedicine today
that does not require the development and use of advanced computational methods, and the resulting models,
algorithms, and software have become an essential component of new advances in biotechnology and the
biomedical discovery they enable. High-throughput imaging, high throughput sequencing, metabolomics,
structure modeling, network modeling, genetic association testing, and a host of other transformative
technologies today depend critically on advanced computational technologies and on researchers able to
design and innovate in this area. The need for advances in computation is only accelerating, as the data
deluge becomes ever more acute and dealing with terabyte to petabyte datasets becomes the norm for even
small laboratories doing routine studies.
The Carnegie Mellon University – University of Pittsburgh PhD Program in Computational Biology (CPCB) was
created to meet the field's pressing need for experts trained in computational biology. The program aims to
prepare the future leaders of computational biology: research scientists with deep knowledge of computational
theory, biological and physical sciences, and a growing body of specialized interdisciplinary knowledge at the
intersection of these areas. To accomplish this, the program leverages the shared strengths of its two host
institutions, collectively world leaders in computer science, engineering, and medical research with long track
records of innovation in computational biology research and education. The training program includes an
innovative curriculum covering fundamentals of computational biology, and a large body of advanced elective
coursework spanning many areas of computational biology research. Thesis research takes place in any of
numerous laboratories at the cutting edge of computational and data-driven biology. Coursework and thesis
research are supplemented by mechanisms to facilitate student success, promote professional development,
encourage responsible conduct of research, and aid in recruiting and retaining underrepresented groups.
We seek to renew support for a select subset of students in the broader CPCB graduate program. It will
provide the most promising students with two years of research support, added resources, and flexibility to
pursue the most innovative research. Entering its 14th year, the program’s trainees have a proven track record
of success. Graduates have attained faculty positions, postdoctoral positions in top research labs, and
research positions at top companies in biomedical and health-related companies. The renewal proposal
includes new innovations in curriculum design, professional development training, and student participation in
program governance.
!

## Key facts

- **NIH application ID:** 10485227
- **Project number:** 5T32EB009403-14
- **Recipient organization:** UNIVERSITY OF PITTSBURGH AT PITTSBURGH
- **Principal Investigator:** Ivet Bahar
- **Activity code:** T32 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $268,373
- **Award type:** 5
- **Project period:** 2009-04-01 → 2024-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10485227

## Citation

> US National Institutes of Health, RePORTER application 10485227, Integrated Interdisciplinary, inter-university PhD Program Computational Biology (T32) (5T32EB009403-14). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10485227. Licensed CC0.

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