Helge Sören Stein

Prof. Dr. Helge Stein (born 1988) heads the Professorship of Digital Catalysis at the Technical University of Munich, TUM School of Natural Sciences and the Munich Center for Machine Learning, based at the Garching research campus. He joined TUM in 2023 after holding a Tenure-Track position in Applied Electrochemistry at Karlsruhe Insitute of Technology. Prof. Stein studied physics at Göttingen University (2008–2013) before completing a PhD in mechanical engineering at Ruhr-Universität Bochum in 2017, focusing on high-throughput methods. He then spent a research period at Caltech in the USA via the Joint Center for Artificial Photosynthesis before returning to Germany. His research group pioneers automated, robotics-based high-throughput experimentation, integrated with machine learning and data science, to discover and upscale novel materials for catalysts and batteries. His group built global, decentralized Material Acceleration Platforms (MAP) spanning discovery to system integration for energy storage and conversion. As an educator, he is passionate about inspiring the next generation of innovators and embedding the “fire of innovation” into teaching alongside his transformative research approach. He is also active in the greater Asian region through TUM.Asia in Singapore and India.

Helge Stein教授（1988年生）现任慕尼黑工业大学（TUM）自然科学学院与慕尼黑机器学习中心数字催化教授，研究团队位于加兴科研园区。他于2023年加入TUM，此前曾在卡尔斯鲁厄理工学院担任应用电化学的终身教授。他先后（2008-2013年）在哥廷根大学获得物理学学士与硕士学位，并于2017年在波鸿大学获机械工程博士学位，博士研究聚焦于高通量方法。博士毕业后曾赴美国加州理工学院联合人工光合作用中心（JCAP）开展研究。

Helge Stein教授团队在自动化与机器人驱动的高通量实验领域处于国际前沿，将其与机器学习及数据科学深度融合，用于催化剂与电池等新型功能材料的快速发现与规模化开发。团队构建了覆盖从材料发现到系统集成的全球分布式材料加速平台（MAP），推动能源存储与转化领域的高效创新。作为教育者，Helge Stein教授致力于激发下一代创新者的潜能，将“创新之火”融入教学，并以其变革性的科研理念促进教学与科研的协同发展。同时，他积极参与慕尼黑工业大学亚洲校区在新加坡与印度的学术与科研合作，推动国际化科研与教育的融合。