The Fudan University Guanghua Young Scholars Forum, concurrently serving as the Shanghai University International Young Scholars Forum, stands as a flagship initiative of Fudan University dedicated to proactively identifying and precisely recruiting top-tier talent. Since its inauguration in 2016, the forum has been attracting a multitude of promising young scholars who have distinguished themselves in their respective fields with remarkable innovation capabilities and immense development potential. Closely aligned with the major strategic demands of the nation and Shanghai, as well as key industrial development sectors, the forum implements Fudan University's talent policies and focuses on enlisting exceptional talents from home and abroad.
The Intelligent Medicine Sub-Forum of the Fudan University Guanghua Young Scholars Forum is set to launch. Scheduled for the first half of January 2026, it will be conducted through a hybrid format of online and offline participation. We extend a global invitation to outstanding talents and welcome them to visit Fudan University in person for academic exchanges and institutional inspections.
l Forum Arrangement
This sub-forum will center on cutting-edge scientific issues in the field of intelligent medicine through academic exchanges. Its focus areas include but are not limited to digital preventive medicine, health care big data, medical large models and agents, precision medicine, and intelligent diagnosis and treatment. It aims to explore the innovative applications and key challenges of intelligent medicine in disease prevention and control, clinical decision-making, drug research and development, and health management.
Young scholars engaged in relevant fields such as intelligent medicine, interdisciplinary research on artificial intelligence and biomedicine, health big data analysis, precision medicine, and intelligent wearable device development are warmly invited to participate, facilitating joint discussions on the frontier development, exchanges, and cooperation.
Forum Arrangement
This sub-forum will center on cutting-edge scientific issues in the field of intelligent medicine through academic exchanges. Its focus areas include but are not limited to digital preventive medicine, health care big data, medical large models and agents, precision medicine, and intelligent diagnosis and treatment. It aims to explore the innovative applications and key challenges of intelligent medicine in disease prevention and control, clinical decision-making, drug research and development, and health management.
Young scholars engaged in relevant fields such as intelligent medicine, interdisciplinary research on artificial intelligence and biomedicine, health big data analysis, precision medicine, and intelligent wearable device development are warmly invited to participate, facilitating joint discussions on the frontier development, exchanges, and cooperation.
l Application Requirements
Outstanding Young Talents
1. Aged 38 or under, in principle;
2. Hold a doctoral degree;
3. Possess an active academic mindset and the ability to independently conduct high-level, original academic research. Candidates must commit to full-time work at the university, have achieved influential academic accomplishments in their research fields, and demonstrate excellent potential for future development.
Super Postdoctoral Fellows
1. Aged 35 or under, in principle;
2. Outstanding doctoral candidates who are about to obtain their doctoral degrees, or doctoral degree holders with graduation time of no more than 3 years;
3. Have made prominent scientific research achievements.
l Talent Development Environment
Outstanding Young Talents
1. Remuneration and Benefits
a) Competitive salary, research startup funds, and unlimited performance-based incentives;
b) Encouragement and full support for applying for various national and Shanghai municipal scientific research projects and talent funds.
2. Workspace
a) Well-equipped office and research spaces;
b) Access to a wide range of advanced professional equipment and intelligent scientific research computing platforms across Fudan University, Shanghai Medical College, and affiliated departments.
3. Team Support
a) Direct recognition of "doctoral supervisor qualification" with a guaranteed quota of 4 doctoral students in the first 6 years;
b) Support for research team building, including the recruitment of postdoctoral fellows, research assistants, and full-time faculty members.
4. One-time Subsidies Including Housing Allowance
Eligibility for one-time talent subsidies from the state, Shanghai municipality, and the university, as well as access to university-owned talent apartments at preferential rental rates.
5. Supporting Conditions
a) Qualification for Shanghai's household registration under the talent introduction policy, with spousal and children's household registration eligible for accompanying or transfer procedures;
b) Children have access to high-quality education resources of Fudan University;
c) Priority medical services at Fudan University's high-level affiliated hospitals.
6. Talent Ecosystem
a) Shanghai Municipal Government has set up dedicated service windows for high-level talents, providing convenient and "one-on-one" personalized services;
b) Opportunities to work on an internationally high-level development platform with a free exploration environment and high-quality humanistic services;
c) Eligibility to apply for various national and local talent introduction programs and supporting projects;
d) The university has established a full-lifecycle talent development support system for young scholars;
e) The Intelligent Medicine Institute coordinates various resources to provide additional support.
Super Postdoctoral Fellows
1. Remuneration
Competitive salary, with encouragement and support for applying for various national and Shanghai municipal scientific research projects and talent funds.
2. Research Conditions
Access to world-class research platforms and a favorable research environment.
3. Housing
Provision of postdoctoral apartments.
4. Children's Education
Assistance with children's school enrollment in accordance with relevant regulations.
5. Others
Handling of household registration, social security, and other formalities in line with relevant rules, as well as access to trade union benefits and other welfare treatments.
l Application Method
Please submit your application materials (including resume, research achievement summary, research plan, and proposed presentation title and abstract) to the official email address: imi_admin@fudan.edu.cn.
Mark the email subject as "Guanghua Forum + Name + Research Field". Invited scholars will receive official notifications to discuss specific forum participation details.
l About the Intelligent Medicine Institute, Fudan University
The Intelligent Medicine Institute, Fudan University (IMI) is a fully operational, entity-based research institution officially approved in June 2022 under the auspices of Academician Jin Li, President of Fudan University.
With the mission of serving national major strategic needs, IMI focuses on the frontiers of medical science, promoting the interdisciplinary integration of medicine with liberal arts, science, engineering, law, and other disciplines. Based on modern medical and natural science theories, it integrates big data, cloud computing, artificial intelligence, and other advanced technologies to explore the intrinsic nature and laws of diseases, and develop intelligent diagnosis and treatment methods for clinical application. Since its establishment, IMI has received strong support from initiatives such as the Shanghai Municipal High-Level Local University Construction Program and the Shanghai University Future Discipline Construction Program. Key shared service platforms, including the Medical Scientific Research Data Center and the Intelligent Medicine Experimental Verification Platform, are under active development to provide high-quality services for medical scientific research and teaching.
Seizing the development opportunity of Fudan University's AI for Science (AI4S) strategy, IMI aims to integrate top-tier disciplines, focus on the interdisciplinary integration of biomedicine and information technology, and balance scientific innovation with technological services. It is committed to enhancing the capacity for data integration and translational utilization, advancing big data-driven knowledge discovery and application, and building a domestically leading and internationally renowned intelligent medicine discipline. IMI plays a pioneering role in the development of emerging medical disciplines, cultivating interdisciplinary medical-engineering leaders and top-notch medical innovators with a global perspective, innovative spirit, practical capabilities, and humanistic awareness, thereby contributing to the development of a world-class university with Chinese characteristics.
l Introduction of Key Academic Leaders
Jin Li
Professor, PhD Supervisor, Academician of the Chinese Academy of Sciences.
President of Fudan University, Dean of Shanghai Medical College, Fudan University, Chair of the Academic Committee of Intelligent Medicine Institute, Fudan University.
Professor Jin focuses on the genetic structure of populations, the origins and migrations of human populations, complex human genetic diseases, and computational biology. In recent years, he has led several key national research projects, including the National Key R&D Program, National Science and Technology Support Key Projects, and Shanghai major municipal science and technology projects.etc. To date, he has published over 800 papers in prominent international academic journals such as Nature, Science, and Cell, with over 44,000 citations. He has twice received the State Natural Science Award (as the first contributor), the Tan Jiazhen Life Science Achievement Award, the Tan Jiazhen Life Science Innovation Award, the HUGO (Human Genome Organization) Excellence in Science Award, the Ho Leung Ho Lee Foundation Science and Technology Progress Award, the Shanghai Science Elite Award, and several provincial and ministerial-level Science and Technology Progress First Prizes.
Zhu Tongyu
Chief Physician, Professor, PhD Supervisor.
Vice Dean of Shanghai Medical College, Fudan University, Director of the Intelligent Medicine Institute, Fudan University, Chief Urologist at affiliated Zhongshan Hospital, Fudan University.
Professor Zhu has extensive clinical and research experience, particularly in AI-assisted kidney transplantation. He has made significant advancements in this field, leading the way both domestically and internationally. His contributions include proposing the concept of an AI-driven full-process system for organ transplantation and achieving notable results in AI-assisted kidney transplantation. He has been recognized as an Outstanding Discipline Leader in Shanghai, a Shanghai Leading Talent, and a recipient of the New Century Talent Program in the city's healthcare system. Zhu has published over 200 academic papers in the fields of surgery, virology, basic medical science, and hospital management. Additionally, he holds several patents, many of which have been successfully commercialized.
Roland Eils
Professor, Doctoral supervisor. Academician of the German National Academy of Sciences Leopoldina.
Executive Director of Intelligent Medicine Institute, Fudan University. Founding director of the BIH Digital Health Center and chair at Charité University Medicine Berlin.
Prof. Roland Eils has an extensive track record in AI models in health and in translational genomics. Over the past years he has developed a number of AI models predicting a wide number of disease endpoints. He is recognized as a leading figure in computational omics in cancer and the life sciences in Europe and beyond. He has signed important papers as first or last author in the best journals in medicine and the life sciences including Cell, Nature, Nature Medicine, Nature Biotechnology, Nature Cell Biology, Nature Genetics, Lancet Digital Health, PNAS. He has published more than 750 papers (350 over the past ten years) in peer reviewed journals. They received a total of more than 80,000 citations resulting in an h-index of 120. (Source: Google scholar; June 2025). Accordingly, he is listed as “Highly cited researcher” by Clarivate in 2022 at the intersection of several disciplines ("cross-field").
Gu Jianying
Chief Physician, Professor, PhD Supervisor.
Party Secretary of affiliated Zhongshan Hospital, Fudan University, Vice Dean of Research at the Intelligent Medicine Institute, Fudan University, Chief of Plastic and Reconstructive Surgery at affiliated Zhongshan Hospital , Fudan University.
Professor Gu leads her team in utilizing hospital, healthcare, and frontline clinical work as key scenarios to promote the clinical application of new technologies, including "cloud, big data, IoT, AI, and blockchain." Their mission is to offer specialized intelligent medical information services and develop digital healthcare assets, thereby advancing the digitization and intelligent transformation of medical care. Gu has led six national and provincial projects, including key national R&D projects in precision medicine and general grants from the National Natural Science Foundation. She is the lead author of one monograph, co-author of nine, and holds several patents. She has published over 130 articles, including more than 30 SCI-indexed papers, with research featured in leading journals such asNature Communications, Advanced Science, and Molecular Cancer.
Liu Lei
Researcher, PhD Supervisor.
Executive Vice Dean of the Intelligent Medicine Institute, Fudan University, Fellow of the International Academy of Health Sciences Informatics (IAHSI).
Researcher Liu Lei specializes in medical artificial intelligence, large medical models, biomedical big data integration and mining, biomedical knowledge graphs, and bioinformatics. He has served as the principal investigator on several national-level projects, including the National 863 Program and key national R&D projects. To date, he has published over 120 academic papers, obtained more than 20 software copyrights, and secured over 10 patents. Liu is also the chief editor of the third edition of the national higher education textbook Medical Big Data and Artificial Intelligence for the Health Information Management/Medical Informatics program.
Irina Lehmann
Professor, Doctoral supervisor.
Head of the Molecular Epidemiology Unit at the Berlin Institute of Health at the Charité- University Medicine Berlin.
Prof. Irina Lehmann holds a professorship for Epigenetics and lung research at the Charité Berlin. Irina Lehmann has an outstanding track record in molecular epidemiology, identification of disease mechanisms in respiratory disease and biomarker identification. In strong collaboration with clinical partners her group contributed with unique mechanistic studies exploring disease mechanisms in different respiratory disease including asthma, cystic fibrosis, and COVID-19.
l Contact Information
For more information about IMI, please visit the official website: https://imi.fudan.edu.cn/, or follow the official WeChat public account: 复旦大学智能医学研究院.
