# Development of data science course and summer bootcamp for ADRD researchers

> **NIH NIH T32** · RENSSELAER POLYTECHNIC INSTITUTE · 2021 · $80,735

## Abstract

Abstract
Given the rising prominence of data science in biomedical and Alzheimer’s research, fueled by
recent developments in artificial intelligence (AI), especially deep learning, and high-
performance computer hardware; a need has emerged to broadly train the predoctoral students
in data science, in both its fundamental principles, and its applications to Alzheimer’s disease
and related dementia (ADRD).
To this end, we will develop a spring 2022 course with seven modular units in the following
areas: 1. Fundamentals and overview (Lai and C. Wang); 2. Deep learning (G. Wang and Lai);
3. Bioinformatics (Bystroff and Fraser); 4. Medical imaging and ADRD (G. Wang and Yan); 5.
Systems engineering (Hahn); 6. Multi-omics (Hurley and Fraser); 7. AI and drug discovery (C.
Wang, Dordick and Fraser).
During the summer of 2022, we will develop a data science bootcamp to provide the students
with hands-on experience in data science, featuring a week-long intensive training in R, followed
by a coached project to analyze an ADRD dataset, e.g., from AD knowledge portal
(https://adknowledgeportal.synapse.org). The course will culminate in a mini-conference where
the students present their research results to a panel of domain experts.
Both the new course and summer camp will be developed and taught in person and will also be
recorded and made available via an online platform to the NIA T32 trainees and graduate
students from the Departments of Architecture, Biological Sciences, Biomedical Engineering,
Chemical Engineering and Chemistry at Rensselaer. All the training materials will be regularly
updated and made freely available to the scientific community through Rensselaer’s web
portal and as new training modules through the institution’s online training
platform Percipio. Using online quizzes, surveys and in-person interviews, the newly developed
course and bootcamp will be evaluated for efficacy, effectiveness and sustainability.

## Key facts

- **NIH application ID:** 10405365
- **Project number:** 3T32AG057464-05S1
- **Recipient organization:** RENSSELAER POLYTECHNIC INSTITUTE
- **Principal Investigator:** Chunyu Wang
- **Activity code:** T32 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $80,735
- **Award type:** 3
- **Project period:** 2017-09-15 → 2023-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10405365

## Citation

> US National Institutes of Health, RePORTER application 10405365, Development of data science course and summer bootcamp for ADRD researchers (3T32AG057464-05S1). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10405365. Licensed CC0.

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