Top AI medical scientists Roland Eils and Irina Lehmann take on part-time posts in China
来源：SCMP | 发布时间：2025-07-31
摘要：已婚研究人员发表超 1000 篇同行评审论文，是医学人工智能领域先驱 Married researchers have published more than 1,000 peer-reviewed papers and are pioneers of artificial intelligence in medicine
Married researchers have published more than 1,000 peer-reviewed papers and are pioneers of artificial intelligence in medicine
Top German medical scientists Roland Eils and Irina Lehmann have joined Fudan University in Shanghai as full-time faculty members, according to the Chinese institution’s website.
The married couple joined the university in April, their arrival marking another milestone in China’s growing ambitions in artificial intelligence (AI) in medicine – a field that Eils and Lehmann have helped to pioneer.
Eils earned his doctorate in mathematics from Heidelberg University in 1995, and was elected as a member of the German National Academy of Sciences in 2018.
He is an internationally renowned computational biologist and scientific strategist who has led major German research institutions – including the German Cancer Research Centre and Heidelberg University – in establishing national platforms.
He was named one of the most influential researchers globally in 2022, according to Clarivate’s list of “Highly Cited Researchers”.
Previously, he served as director of the health data science department at Heidelberg University Hospital and was a full-time professor and founding director of the Centre of Digital Health at the Berlin Institute of Health (BIH), Charite University of Medicine.
Lehmann was a tenured professor of epigenetics and lung research at Charite and chair of the molecular epidemiology department at BIH.
She received her PhD in immunology from Leipzig University in 1991, and has chaired systems biology of human disease conferences in Berlin, Los Angeles and Nashville.
Between them, the pair have published more than 1,000 peer-reviewed papers, with a total citation count exceeding 100,000. They have published over 30 papers in top journals, including Cell and Nature.
“The deep integration of AI with medicine will facilitate the more efficient transformation of fundamental biomedical research findings into clinical practice,” Eils said in an interview posted on Fudan’s website last month.
“Deep learning technology holds great potential in the processing and analysis of health data. By analysing multimodal data, including genomics, health records, and retinal fundus photographs, these data models can assist in predicting a variety of diseases, such as cardiovascular and metabolic diseases.”
Eils and Lehmann have been at the forefront of the field of AI-assisted medical intelligence.
Eils was a key player in establishing the world’s first human pancreas cell atlas, mapping the coronavirus infection mechanism during the Covid-19 pandemic, the creation of the core computing centre for the International Cancer Genome Consortium, and the use of AI for predicting disease risks.
Lehmann has been instrumental in evaluating clinical large language models. She has also led a Euro13 million (US$15 million) European Union project to build real-world machine learning models for chronic obstructive pulmonary disease, asthma and other conditions.
The pair have joined Fudan’s Intelligent Medicine Institute, established in June 2022, to promote it as a global hub of innovation. The institute held its first international conference last October and plans to hold the conference annually in Shanghai.
They will also set up a German-Chinese joint laboratory for intelligent medicine at the university.
Fudan University, like other leading Chinese institutions, has been pushing to recruit top talent from around the world, from postdoctoral researchers to world-class experts. Other recent hires include Kong Long, a former Apple chip engineer, who has joined the university’s school of microelectronics as a researcher and doctoral adviser.
顶尖人工智能医学科学家罗兰・艾尔斯与伊琳娜・莱曼在中国担任兼职职务
据复旦大学官网消息，德国顶尖医学科学家罗兰・艾尔斯（Roland Eils）与伊琳娜・莱曼（Irina Lehmann）已全职加入上海复旦大学。
这对已婚夫妇于今年 4 月入职，他们的到来标志着中国在医学人工智能领域日益增长的雄心又迈出重要一步 —— 而艾尔斯与莱曼正是该领域的开拓者。艾尔斯 1995 年获海德堡大学数学博士学位，2018 年当选德国国家科学院院士。
艾尔斯是国际知名的计算生物学家与科学战略专家，曾领导德国多家重要研究机构（包括德国癌症研究中心与海德堡大学）搭建国家级科研平台。2022 年，他入选科睿唯安 “高被引科学家” 榜单，跻身全球最具影响力研究者之列。
此前，他曾任海德堡大学医院健康数据科学系主任，同时担任柏林夏里特医学院柏林健康研究所（BIH）数字健康中心创始主任与全职教授。莱曼曾是夏里特医学院表观遗传学与肺部研究终身教授，以及柏林健康研究所分子流行病学系主任。
她于 1991 年获莱比锡大学免疫学博士学位，曾在柏林、洛杉矶和纳什维尔主持人类疾病系统生物学会议。
两人合计发表了 1000 多篇同行评审论文，总被引次数超 10 万次，其中 30 余篇发表在《细胞》《自然》等顶级期刊上。
艾尔斯在上月复旦大学官网发布的采访中表示：“人工智能与医学的深度融合，将推动生物医学基础研究成果更高效地转化为临床实践。深度学习技术在健康数据处理与分析方面潜力巨大，通过分析基因组学、健康记录、眼底照片等多模态数据，这些数据模型可助力预测多种疾病，如心血管疾病和代谢性疾病。”
艾尔斯与莱曼一直处于人工智能辅助医疗智能领域的前沿。艾尔斯在多项工作中发挥了关键作用：建立世界首个人类胰腺细胞图谱、在新冠疫情期间绘制冠状病毒感染机制、打造国际癌症基因组联盟核心计算中心，以及将人工智能应用于疾病风险预测。
莱曼则在临床大型语言模型评估方面贡献卓著，她还牵头了一项欧盟 1300 万欧元（约合 1500 万美元）的项目，旨在为慢性阻塞性肺疾病、哮喘等疾病构建真实世界机器学习模型。
二人已加入复旦大学智能医学研究院（该研究院成立于 2022 年 6 月），助力其打造全球创新枢纽。研究院于去年 10 月举办首届国际会议，并计划每年在上海举办这一会议。
他们还将在复旦大学组建中德智能医学联合实验室。
与其他中国顶尖高校一样，复旦大学一直在全球范围内招揽顶尖人才，涵盖博士后研究人员至世界级专家。近期入职的还包括前苹果芯片工程师孔龙，他已加入复旦大学微电子学院，担任研究员与博士生导师。