Prof. Long Lu, Wuhan University
卢龙教授，武汉大学
Dr. Lu Long is currently a professor at the School of Information Management, Wuhan University, and Director of The Center for Healthcare Big Data Research. Before joining Wuhan University, Dr. Lu was a tenured professor at Cincinnati Children's Hospital Medical Center, a top 3 children's hospital in the US. Dr. Lu's laboratory was continuously funded by grants from the US NIH (e.g., PI on R01 grants), the US NSF and private foundations (e.g., Gates Foundation) when he was with CCHMC for 10+ years. Dr. Lu's main research interests are in biomedical informatics and healthcare big data analysis and application. The algorithms and technologies developed in Dr. Lu's laboratory have been successfully applied to infectious diseases, cardiovascular diseases and children's developmental disorders. They have become effective tools to assist doctors in diagnosis and treatment. Dr. Lu has published 80+ high-quality peer-reviewed papers including in Science and Information Sciences (H index 35, total citations >4000), and held 10+ domestic and foreign patents. His research work has attracted international attention, including US NPR News, The Scientist, Genomics and Proteomics, Yahoo News and Reuters news. He has been invited to serve as a grant reviewer for the US NIH, US NSF, Canadian NSERC, French ANR, Polish NCN and Hong Kong ITC.
卢龙，男，北京大学学士、美国华盛顿大学（圣路易）医学院博士、美国耶鲁大学博士后。现任武汉大学信息管理学院教授、博士生导师，武汉大学健康大数据研究中心主任。卢博士的实验室致力于运用计算的方法研究和指导治疗人类疾病，专注于分析生物学和医学大数据、开发计算机算法、以及应用机器学习的方法进行预测和诊断。这些算法和技术已经被成功地应用于传染病、心血管疾病和儿童发育障碍等疾病的研究，正在成为辅助医生诊断和治疗的有效工具，并具有商业价值。卢博士实验室主持实施了逾600万美元的由美国国家卫生研究署（NIH）、美国国家科学基金（NSF）和私人基金会资助的多项重大科研项目。已主持或参与实施了国家级人才计划、科技部重点研发计划、国家自科基金创新群体/重点/面上项目、国家社科基金重大项目等科研项目10余项。发表包括Science、Information Sciences在内的高质量SCI学术论文80余篇（H指数32，总引用次数超过4000次），拥有10多项国内外专利。研究工作被多家国际媒体报道，包括美国国家公共电台新闻、《科技学人》杂志、《基因组与蛋白质组》杂志、美国雅虎新闻和英国路透社新闻。多次应邀担任美国NIH、NSF、加拿大自然科学和工程研究委员会（NSERC）、法国国家研究署（ANR）、波兰国家科学中心（NCN）和香港科技创新署（ITC）基金评审专家。应邀担任科技部、国家自然科学基金、国家自然科学奖和长江学者奖励计划评审专家。担任包括《美国科学院院报》在内的40多家科技杂志的审稿专家。应邀在美国和中国著名大学、国家实验室、制药公司和国际会议做学术报告70多次。目前研究课题包括医学影像数据分析算法开发；多模态生物医学数据融合研究；颅脑疾病自动诊断与康复方案推荐；恶性脑瘤单细胞组学分析；高密度脂肪蛋白网络与功能研究等。