TEAM
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.
(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.
(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.
(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.
(R-Tech GmbH)
Katja Eichinger is project manager at the network AIR – Artificial Intelligence Regensburg, which connects
experts from industry, science and administration.
(Strategische Partnerschaft Sensorik e.V./Cluster Sensorik)
Carolin Frömel is responsible for public relations, web and design in the Bavarian Sensor Network.
(ams OSRAM)
After completing his PhD studies about causal inference in the semiconductor industry and joining ams OSRAM as a data scientist, Daniel Grünbaum is now leading the R&D data science team at ams OSRAM.
(Strategische Partnerschaft Sensorik e.V./Cluster Sensorik)
Michael Hellwig supports companies in the Bavarian Sensors Network in matters of personnel and organizational development. He takes the lead in developing training programs and offerings for the qualification program, focusing on areas such as artificial intelligence, data analysis, and the transformation of the automotive
industry.
(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 analyses software evolution using machine learning.
(ams OSRAM)
Jonas Kleinöder performs research and applies object detection in the semiconductor industry as a master student.
(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).
(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”.
(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.
(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.