Bio
Prof. Tao Huang is a professor at the Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences. He completed his post-doctoral research at the Department of Genetics and Genomics Sciences, Icahn School of Medicine, Mount Sinai, New York City, USA. His research interests include bioinformatics, computational biology, systems genetics, and big data research. He has published over 200 articles. His works have been cited 15,795 times with an h-index of 55. He has edited the following books: Computational Systems Biology: Methods and Protocols, Precision Medicine; Liquid Biopsies: Methods and Protocols; and Epigenetics - Regulation and New Perspectives. He has been an Editor or Guest Editor for over 30 journals and a reviewer for 280 journals. He is also a Highly Cited Chinese Researcher and World's Top 2% Scientist (2020, 2021, 2022, and 2023).

Talk
A Novel AI-based Personalized Nutrition Intervention on Dietary Intake Improvement and Potential Weight Management

Bio
Dr. Zhenni Zhu is a medical doctor, specializing in human nutrition and health, working on behavioral nutrition intervention and AI-based personalized nutrition intervention research. She is a member of the National Health Standards Committee-Nutrition and Health;, the China's National Nutrition and Health Expert Committee; and, the Chinese Nutrition Society. She is currently hosting or participating in the following projects: Food Safety, Nutrition, Health and High-quality Development in China's National Health Committee; a pilot program in China's National Nutrition and Health Expert Committee; and the Key Research and Development Program "Active Health and Healthy Aging" in China's Ministry of Science and Technology . She has published more than 20 research papers in SCI journals as the first author or corresponding author.

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Computational Methods for Cancer Precision Medicine

Bio
Prof. Hong Li is a professor and principal investigator at Shanghai Institute of Nutrition and Health (SINH), Chinese Academy of Sciences (CAS). She is a Distinguished Young Scholars of NSFC and an Outstanding Member of the Youth Innovation Promotion Association of CAS. Her research focuses on algorithm development and omics data mining to understand cancer biology. She has published more than 60 papers as the (co-)first author or (co-) corresponding author in Cancer Cell, Cell Stem Cell, Genome Biology, Genome Medicine, Hepatology, Briefings in Bioinformatics, etc. She has also received awards for her work, including the Shanghai Science and Technology Progress Award, China’s Top Ten Bioinformatics Advances, etc.

Talk
Development of Digital Twin Systems for Acute Myeloid Leukemia

Bio
Dr. Guangrong Qin is a computational biologist with expertise in bioinformatics, statistics, machine learning, and drug discovery. Dr. Qin's research focuses on developing computational tools, algorithms, platforms to facilitate precision medicine, and drug target discovery. Dr. Qin values collaborations with biologists and clinical doctors to better address biological and clinical questions and has been working on various disease types including cancer and infectious diseases. Dr. Qin has led several projects to investigate pan-cancer features based on multiomics data and develop platforms to facilitate the investigation and study of cancer. As an investigator for numerous US federally funded studies, including the NCI-funded Cancer Therapy Discovery and Development project and NCATS- funded Biomedical Data Translator project, Dr. Qin has led and developed multiple computational tools such as the Function Module States Framework, and worked on transforming biomedical data into a big disease–gene–drug knowledge graph. She has also co-authored a chapter titled "Multiple Omics Data Integration" for the book Systems Medicine: Integrative, Qualitative and Computational Approaches. Dr. Qin has been invited as a reviewer for different journals, including Nature Biotechnology, Cell Reports, BMC Genomics, Frontiers in Oncology, etc.