The event is organized by a team of volunteers from the Regensburg area. Just like our speakers, the team consists of data scientists working in academia and industry.

Elisabeth Moser
(Krones AG)

Elisabeth Moser finished her master degree in Robotics, Cognition and Intelligence at TU Munich in 2018 and returned to Regensburg to pursue her Doctorate in collaboration with TU Munich. She now works as a Data Scientist for Krones AG. She is also engaged with the NGO SpaceEye to detect migrant boats on satellite imagery.
Prof. Dr.-Ing. Maike Stern
(OTH Regensburg)

Maike used to work as a key expert and team lead for machine learning research at ams OSRAM. In 2023, after parental leave, she joined OTH Regensburg as a professor for data science and is part of the Regensburg School for Digital Sciences.
Stefanie Fuchs
(Strategische Partnerschaft Sensorik e.V./Cluster Sensorik)

Stefanie Fuchs is part of the management team of the Bavarian Sensors Network – a link between economy and science.
Carolin Frömel
(Strategische Partnerschaft Sensorik e.V./Cluster Sensorik)

Carolin Frömel is responsible for public relations, web and design in the Bavarian Sensor Network.
Daniel Grünbaum
(ams OSRAM)

Daniel Grünbaum performs research on causal inference in machine learning and its applications in the semiconductor industry as a PhD student.
Michael Hellwig
(Strategische Partnerschaft Sensorik e.V./Cluster Sensorik)

Michael Hellwig is a consultant for further education and qualification in the Bavarian Sensor Network and develops educational programs in the field of artificial intelligence, data analytics and transformation of the automotive industry.
Nicole Höß
(OTH Regensburg)

Nicole Höß finished her master degree in computer science at OTH Regensburg. As a research assistant, she is coordinating the Regensburg Center for Artificial Intelligence (RCAI) and supports companies in the state-funded project KI-Transfer Plus.
Jonas Kleinöder
(ams OSRAM)

Jonas Kleinöder performs research and applies object detection in the semiconductor industry as a master student.
Prof. Dr. Udo Kruschwitz
(Universität Regensburg)

Udo Kruschwitz has a broad research interest that ranges from enterprise search to the detection of hate speech. He enjoys co-organising events that bring together people from industry and academia (e.g. check out the regular Data Science @ Regensburg Meetup).
Andrea Stich
(Infineon Technologies AG)

Andrea Stich (Dipl Ing. physics) is heading an internal Academy and is responding the worldwide functional learning and development for all Frontend Sites of Infineon. In this function she is driving the introduction of AI skills and competencies in the Frontend training landscape as well as being an active member of the “Plattform Lernende Systeme” of the BMBF in the WG 2 ”Future of Work and Human-Machine Interaction”.
Veronika Völkl
(ams OSRAM)

Veronika Völkl studied mathematics at OTH Regensburg and is now responsible for Applied Data Science in the production of OSRAM Opto Semicondutors. She develops algorithms and implements them in the production to realize the diverse benefits that automated data analysis offers.
Heribert Wankerl
(ams OSRAM)

Heribert Wankerl is interested in applying machine learning to key aspects of the semiconductor industry, including e.g. signal processing or decision making. Within the context of his Ph.D. studies, he investigates active and especially reinforcement learning methods..