# Predoctoral Training in Bioinformatics and Computational Biology

> **NIH NIH T32** · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · 2024 · $329,616

## Abstract

Project Summary/Abstract
Biomedical research is evolving rapidly as new high-throughput technologies, producing massive quantities of
data, open new frontiers in data-driven predictive capabilities, boosting the applicability of complex data
analysis and machine learning algorithms in areas ranging from personalized medicine and drug discovery to
structural biology and microbial ecology. Simultaneously, high standards for ethical production, use, and open
access to data have become essential. This new application seeks support for the Predoctoral Training
Program in Bioinformatics and Computational Biology at Boston University which will train young scientists to
become leaders in this transformational era. Ten predoctoral training slots per year are requested to fund five
trainees each in years one and two. The curriculum includes a strong foundation in biological domain
knowledge, advanced methodologies in the quantitative sciences (computing, mathematics, and statistics), an
emphasis on reproducibility habits, awareness of algorithmic and racial bias in research, and extensive
opportunities for developing scientific communications skills. Program features include: 1) three lab rotations,
including the Wet-Lab Experience, which introduces new trainees to high-throughput experimental methods, 2)
the Challenge Project, for first-year team research on open-ended, data-intensive biological problems, with an
emphasis on rigor and reproducibility, 3) Programming workshops for computational skills development, 4)
Algorithmic Bias workshops for recognizing biases in data collection and use, 5) a research-in-progress
Student Seminar, 6) the annual International Workshop in Bioinformatics and Systems Biology, undertaken
jointly with partner programs in Japan and Germany, 7) the annual Student-Organized Symposium, 8) a
teaching requirement, and 9) the annual Program Retreat. Thirty-six faculty mentors from 14 departments,
each with a strong quantitative component to their research, offer a wide range of interdisciplinary expertise in
experimental, mathematical and computational approaches. All use rigorous and reproducible methods in their
research, take an active role in Program activities, are committed to active mentoring, and will have taken
mentor training by the start of Program funding. Three co-PDs, who have worked together for over a decade,
will provide leadership. Each brings training strengths and administrative experience. An Executive
Committee, including five additional faculty will oversee the Program, with direct input from the trainees
through a Student Advisory Council. The Program offers extensive career development activities,
multipronged avenues for student engagement, and a multidimensional scheme for ongoing evaluation.

## Key facts

- **NIH application ID:** 10886012
- **Project number:** 5T32GM150533-02
- **Recipient organization:** BOSTON UNIVERSITY (CHARLES RIVER CAMPUS)
- **Principal Investigator:** GARY E. BENSON
- **Activity code:** T32 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $329,616
- **Award type:** 5
- **Project period:** 2023-07-01 → 2028-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10886012

## Citation

> US National Institutes of Health, RePORTER application 10886012, Predoctoral Training in Bioinformatics and Computational Biology (5T32GM150533-02). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10886012. Licensed CC0.

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