The 10th Big Data Forum for Life and Health Sciences

Dr. Lambert is an Assistant Professor of Health Data Science at the University of Cambridge and a Visiting Researcher at the EMBL-European Bioinformatics Institute. Dr. Lambert co-leads the development of the Polygenic Score Catalog (www.PGSCatalog.org) project, the largest open resource of polygenic scores. His research focuses on understanding and predicting patterns of multimorbidity that involve common cardiometabolic diseases using multi-omic measurements and linked health record data.

陈河兵，军事医学研究院副研究员。清华大学自动化系本科，军事医学科学院生物信息学博士，主要研究染色质结构和基因表达调控，运用深度学习等方法开发三维基因组计算方法并加以应用。作为负责人承担国自然优秀青年基金、面上项目、青年项目以及军委科技委重点项目等多项课题，成果发表在Nature Machine Intelligence、Journal of Clinical Investigation、Trends in Genetics、Genome Research 、Nature Communications、Advanced Science、Genome Biology等期刊。入选全军青年科技英才、北京市科技新星，获得叶剑英英才奖，2024年获批国家自然科学基金优秀青年基金（信息学部）。担任中国人工智能学会生物信息学与人工生命专业委员会秘书长、中国自动化学会智能健康与生物信息专业委员会委员，Quantitative Biology期刊特邀编辑。

李广迪教授作为湖南省重点实验室副主任、生物安全BSL-2级实验室负责人，入选：湖南省“杰出青年”，湖南省“湖湘青年英才”、湖南省“优秀党员”、湖南省“抗击新冠肺炎疫情先进个人”,“全球前2%顶尖科学家”（2021到2024连续4年）。我们团队以病毒流行病学，计算机学，生物化学和生物医学多交叉学科为背景，结合临床实际问题，致力于生物信息学新算法和软件的开发，潜心研究病毒基因组学和抗病毒药物。

2009 年本科毕业于东北林业大学，2015 年硕博毕业于中国科学院遗传与发育生物学研究所，数据驱动的中药道地性形成和高品质生产研究开展：⑴ 中药大数据资源底座的持续建设；⑵ 中药大数据资源的智算整合挖掘。以及基于数据库联合开展①中药道地性形成分子机制研究；②高品质中药生产和鉴定；③中药合成生物学研究和中药新资源挖掘等，在Cell Stem Cell (封面文章)，Nucleic Acids Research，Nature communications, Protein & Cell, iMeta等高水平杂志以第一或通讯作者发表文章十二篇，累积引用 4000 +次；开发在线绘图和分析平台 ImageGP、BIC、EVenn、植物整合基因组平台IMP （获中华中医药学会 2023 年年度十大学术进展之一），使用超 200 万人次，3 篇文章获评科睿唯安 ESI 高被引论文（Top 1%）；运营有十六万人关注的微信公众号《生信宝典》，分享有1500 多篇生物信息分析原创文章、教程和视频，阅读播放千万次。联合创办iMeta期刊(影响因子：33.2)，现为执行主编，致力于打造微生物和生物信息领域的国产高水平综合性杂志。

Dr. Peng Gui is an associate investigator at the CEBSIT/ION, Chinese Academy of Sciences. He obtained his Ph.D. in Psychology and Cognitive Science from East China Normal University and completed his postdoctoral training at CEBSIT. His research focuses on the neural dynamics and cognitive mechanisms of altered states of consciousness, such as disorders of consciousness and anesthesia. His work has been supported by the National Natural Science Foundation of China and the Youth Innovation Promotion Association of CAS, and has been published in journals including Nature Neuroscience and eLife. He was also a nominated awardee in the Shanghai “35U35” program.

Shuangjia Zheng (郑双佳) is a tenure-track Assistant Professor at the Global Institute of Future Technology (GIFT) and School of Artificial Intelligence, Shanghai Jiao Tong University. His research interests are broadly at the intersection of applied machine learning for problems in biology, chemistry, and medicine, with a particular interest in the discovery and design of novel therapeutic biomolecules. He earned his Ph.D. in Computer Science at Sun Yat-sen University and served as a visiting scientist at MIT and Harvard. During his Ph.D., he was also a founding member of a hundred-million-dollar AI drug discovery startup. His work has been recognized by numerous awards, including the Asian Young Scientist Fellowship, Forbes 30 Under 30 Asia, WAIC Rising Star Award, RayWu Fellowship, and Baidu Scholarship.

Dr. Lan JIANG earned his PhD from the Beijing Institute of Genomics, Chinese Academy of Sciences, under the supervision of Dr. Chung-I Wu (Academician of Academia Sinica) in 2013. He then conducted postdoctoral research at Harvard Medical School in Boston with Dr. Yi Zhang (Member of the National Academy of Medicine) from 2013 to 2018. In 2018, he became a Principal Investigator at the Beijing Institute of Genomics, Chinese Academy of Sciences, and the China National Center for Bioinformation (CNCB). His research focuses on developing innovative single-cell and spatial multi-omics techniques and machine learning to create a virtual cell AI model. Dr. JIANG has published over 30 papers in high-impact journals such as Nature, Cell, and Nature Methods. The NIH K99 Award and the Ray Wu Prize have recognized his scientific achievements.

Dr. Jianrong He is an epidemiologist specializing in maternal and child health at Guangzhou Women and Children’s Medical Center. He oversees the operation and management of the Born in Guangzhou Cohort Study (BIGCS), one of the largest prospective birth cohort studies in China. Since its establishment in 2012, BIGCS has enrolled more than 62,000 mother-child pairs and maintained a biobank with over 2.9 million biospecimen aliquots.   His research focuses on maternal and child health epidemiology, utilizing large-scale birth cohort data in combination with traditional epidemiological approaches and multi-omics technologies to examine risk factors, biological mechanisms, and long-term outcomes for women’s and children’s health. He has published around 100 papers in peer-reviewed journals such as Nature, JAMA, JAMA Network Open. He has also led three projects funded by the National Natural Science Foundation of China.   Dr. He serves as an Editorial Board Member of BMC Medicine and as a reviewer for several international journals such as The BMJ, JAMA Pediatrics, The Lancet Planetary Health, and The Lancet Regional Health. In addition, he is a member of the Committee on Childhood Obesity Prevention of the Chinese Preventive Medicine Association and a Youth Member of the Women’s Health Branch of the same association.