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Clinical and Population Translational Research

Global Clinical and Translational Research Institute

Our research interests are highly multidisciplinary, linking the fundamental social and genetic aspects and living environment to human development, health outcomes, and complex disorders across the life span. The research can be conducted at various levels, from DNA to individuals and families to community and culture.

The program is designed to provide cross-disciplinary research training through individual mentorship rather than modular teaching. The program will focus on specific research projects from design, data collection, and quality control to analysis, in which human development and health conditions (including various diseases) are the ultimate outcomes.

Main Areas of Interest

Clinical and translational research in psychiatry
Genetics, genomics and epigenetics
Population aging and neurodegenerative disorders
Demography and genetics of human development and health, and policy
Cognition and clinical psychology
Clinical and population neuroscience
Artificial intelligence and precision medicine
Anthropology and anthropometrics
Substance use disorders
Stress-related disorders
Metabolic disorders
Earth science and environment
Microbiology and health
All other open areas

Techniques You Will Learn

Module 1: Multidisciplinary Research Design in Clinical and Translational Science

Learn:

How to frame a research question across psychiatry, oncology, genomics, and environment
Integration of demographic, clinical, and omics data
Creating a cross-disciplinary hypothesis
Tools: REDCap, Study Designer, NIH protocol templates

Module 2: Omics-Driven Research Planning and Sample Management

Learn:

DNA/RNA sample collection, storage, and QC
Best practices in genomics, proteomics, metabolomics sample workflow
Case example: From patient consent to multi-omics profiling
Tools: Sample tracking systems, ELNs, data dictionaries

Module 3: Data Collection, Curation & Quality Control in Population Health

Learn:

Using digital tools and mobile platforms (e.g., "Happy Quit") for behavioral data
Population-level survey data structuring, cleaning, and integration
QC methods in large-scale longitudinal and demographic data
Tools: R, Stata, Python pandas, EpiData

Module 4: Statistical and Machine Learning Techniques in Multilevel Data

Learn:

Techniques: GWAS, epigenetic analysis, latent variable models, mixed-effects models
AI/ML: Random forest, logistic regression, clustering in precision psychiatry
Cross-validation and model interpretation
Tools: R (tidyverse, caret), PLINK, Python (scikit-learn)

Module 5: Translational Interpretation and Scientific Publishing

Learn:

Turning analysis into clinical/public health insights
Manuscript structuring using their journal Global Clinical and Translational Research
Editorial standards and peer-review navigation
Tools: Reporting guidelines (STROBE, CONSORT), reference managers

Module 6: Global Collaboration, Ethics, and Policy in Translational Research

Learn:

How to build international, multi-site collaborations (e.g., NIH, China sites)
Ethical review, data sharing, and policy impact in global genomics
Integrating social genomics with health systems
Tools: IRB templates, international MoUs, FAIR data principles

1-on-1 Mentorship Track: the above program can be customized and bring your own data and utilize the above modules
Final Certificate: Upon submission of mini project or data plan

Modules

Topic selection and review

Study design
Measurement
Data collection and quality control
Data analysis
Interpretation

Program Fee


Total Number of Modules	6
Time duration of Each module	40 minutes
Total Program Cost	$600

Who Can Apply

Holders of PhD or MD degrees are interested in conducting research and require mentorship, in particular in methodology, and are interested in cross-disciplinary research.

Host Details

Host Name: Fengyu Zhang

Affiliation: Global Clinical and Translational Research Institute

Address: Virtual Program

Website URL: http://gcatresearch.org/

Disclaimer:It is mandatory that all applicants carry workplace liability insurance, e.g., https://www.protrip-world-liability.com (Erasmus students use this package and typically costs around 5 € per month - please check) in addition to health insurance when you join any of the onsite Trialect partnered fellowships.

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