This program is tailored to train early-career researchers and students in cutting-edge research related to endocrine diseases and their mechanisms. It aims to equip participants with both theoretical knowledge and hands-on skills, preparing them for advanced academic or industry careers in biomedical science. The target group includes undergraduate students, graduate students and research fellows passionate about endocrinology and translational medicine.

Weekly mentorship meetings with Dr FENG and a multidisciplinary research team

Real-time involvement in scientific research programs and hands-on training

Opportunities to publish articles or abstracts in peer-reviewed journals and present research posters or papers at conferences

Critical thinking, analytical, and practical inquiry skills utilizing the latest approaches in healthcare and medical research

Skills in critical appraisal, research design, and understanding of the entire medical research process

Equip participants with advanced knowledge and skills in endocrinology research, focusing on cutting-edge topics such as diabetes, its complications, and related mechanisms.

Develop the ability to critically appraise, design, and conduct research in endocrine diseases and translational medicine.

Facilitate real-world application of theoretical knowledge through hands-on training and mentorship by multidisciplinary experts.

Enhance career readiness for academic, clinical, or industry roles in biomedical sciences.

Research interests:

Mechanisms of the onset and development of endocrine diseases, mainly diabetes and its complications

New Treatment Methods and Drug Development for Endocrine-Related Diseases

 Project:

1. Exploring the possible relationship between sexual hormones and the onset and development of diabetes - the protective role of estrogen in diabetes

2. Exploring the possible treatment therapies of NAFLD – Application of novel drug delivery systems

3. Relationship between gut microbiome and endocrine-related diseases - identifying bacterial profiles related to onset and development of diabetes

Undergraduate students：

Candidates should be enrolled in a bachelor's degree program in biology, biochemistry, or a related field. Prior coursework in molecular biology or immunology is preferred. Basic proficiency in English is required.

Graduate students：

Candidates must be enrolled in a Master’s, M.D. or Ph.D. program in biomedicine, immunology, or a related field. Familiarity with research methodologies and laboratory techniques is required. Fluency in English is mandatory.

Researcher fellows：

Applicants should have an advanced degree (M.Sc. M.D. Ph.D. or equivalent) in a biomedical discipline with some prior research experience. Candidates must demonstrate an ability to work independently and contribute to team projects. Proficiency in English is essential.

Duration: 4 weeks

Program Training Schedule (Example):

1. Introduction & Welcome

Time Duration: (1 day)

Activities:

Workshop overview and objectives

Introduction of facilitators/tutors

2. Foundational Session

Time Duration: (1 week)

Topics:

Key concepts and pathogenesis related to endocrine diseases, mainly diabetes

Review of recent significant advancements in the field of endocrinology research

Literature review or background studies, Lab meetings (introduction of the on-going projects)

Format: Lecture, interactive Q&A, or multimedia presentations

3. Practical/Hands-On Session

Time Duration: (2 weeks)

Activities:

Demonstrations of research tools or methods (e.g. lab equipment, software)

Endocrine Laboratory Techniques Training (e.g. cell culture, hormone detection using techniques including ELISA etc，animal experiments including GTT, ITT etc.)

Practice exercises where participants replicate a research technique

Guided small-group activities for solving a case or analyzing data

1. Bioinformatics training and Data analysis techniques

Time Duration: (1 week)

Activities:

Introduction to the field of metabolomics

Lecture on various metabolite profiling techniques, including NMR spectroscopy and mass spectrometry.

Lecture on statistical methods commonly used in bioinformatics, including hypothesis testing and regression analysis.

2. Wrap-Up & Reflection

Time Duration: (2 days)

Activities:

Participant presentations or discussion of key takeaways

Feedback session (e.g. online survey or live Q&A)

Assessment Methods:

Submission of a final research report summarizing lab work and findings

Practical assessments during wet lab sessions

Certificates provided upon successful completion of the program

 Feedback for Participants:

Participants can submit anonymous feedback via an online form at the end of the program. One-on-one feedback sessions will also be scheduled midway through the program.

The program is free of charge.

Program Coordinator: FENG Ye

Email: yunyi0513@zju.edu.cn

Phone: +86 13757141019