How does thinking work? (How) can we instruct machines to think? And how can we use our knowledge to make machines more useful for people?
I combine 15 years of university-based research and teaching in the areas of artificial intelligence, robotics and human-machine interaction with three years of practical experience at Intuity Media Lab GmbH. As an independent scientist I produce tangible results based on scientific findings.
I am currently mostly pondering about the abililty of humans to make decisions in everyday life. I use results from psychology and behavioral economics to implement computational decision processes that resemble those of humans. The goal is not only to get better automatic responses, but also to facilitate the interaction between people and machines. The same mechanisms are interesting for defining organizational processes.
Curriculum Vitae
Professional Experience
since 2018
Independent Scientist
2018 – 2021
Intuity Media Lab
2012 – 2018
Assistant professor, Universität Tübingen
2008 – 2012
Junior research group leader, TU München
2007 – 2008
Strategy consultant, Booz & Co. (now: strategy&)
2003 – 2007
Doctoral researcher, TU München
Education
2017
Positive final evaluation of assistant professorship (asserting the ability and aptitude necessary for filling a professorship), Universität Tübingen
2008
Doctorate in Informatics, TU München
Grade: summa cum laude
Grade: summa cum laude
2003
Diploma of Informatics, TU München
passed with distinction
passed with distinction
Awards
- Adjunct member of the Bavarian Academy of Sciences and Humanities, as a member of the Young Scholar's Programme (2012-2018)
- Carl-von-Linde Junior Fellow of the Institute for Advanced Study of TU München (2010-2012)
- Junior research group leader in the cluster of excellence Cognition for Technical Systems, TU München (2009-2012)
Projects
since 2019
Heuristic categorization
self-funded research project
Categorisation
Decision processes
Cognition
Artificial Intelligence
Explainable AI
Prototyping
Clojure
JavaFX
ClojureScript
React
2019 – 2021
Sort-it: a demonstration prototype for a knowledge tool
Categorisation
Decision processes
Cognition
User Experience Design
Artificial Intelligence
Prototyping
Agile software development
ClojureScript
React
Project management
2021
Digitalisation strategy for a logistics SME
Consulting
Business analysis
Requirements Analysis
Workshops
Market research
Roadmap
Logistics
Project management
2019 – 2020
Development and prototyping of an interaction concept for in-plant logistics
User Experience Design
User research
Workshops
Interaction design
Information architecture
Agile software development
Roadmap
Logistics
Automotive
Project management
2012 – 2018
Human-Centered Artificial Intelligence
Young Scholar's Programme of the Bavarian Academy of Sciences and Humanities
Decision processes
Cognition
Autonomous robots
Clojure
JavaFX
Talks and Training
March 2021
Sort-it by Intuity – Knowledge Representation in Action
Interdisciplinary College, Rainbow Course
Artificial Intelligence
User Experience Design
Agile software development
Talk
October 2019
The Technology in Autonomous Cars: A Focus on the Present
Autonomous Driving
Human-machine interaction
State of AI
Talk
November 2018
Can Robots Replace Caregivers? An Insight into the State of Robot Research
Accessibility
Autonomous robots
State of AI
Talk
August 2017
The RenAIssance: Brave New World
European Forum Alpbach 2017, 6-day course, with Tarek Besold
Artificial Intelligence
State of AI
Lecture
July 2015
Usable Technology: from People, for People
Kärcher Future Day
User Experience Design
Cognition
Talk
Publications
Suche. In: Handbuch der Künstlichen Intelligenz. Ed: Günther Görz, Ute Schmid, Tanya Braun, 6th edition. De Gruyter. Chap. 3. 2021.
Shakey Ever After? Questioning Tacit Assumptions in Robotics and Artificial Intelligence. Künstliche Intelligenz, 33(4), pp. 423 – 428, 2019. [pdf from HAL]
A Unifying Computational Model of Decision Making. Cognitive Processing, 20(2), pp. 243 – 259, 2019. [pdf from HAL]
Human Understanding of Robot Motion: The Role of Velocity and Orientation. International Journal of Social Robotics, 11(1), pp. 75 – 88, 2019. [pdf from HAL]
Explain to whom? Putting the User in the Center of Explainable AI. In: Proceedings of the First International Workshop on Comprehensibility and Explanation in AI and ML 2017, co-located with 16th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017). Bari, Italy, 2017. (invited paper) [pdf from HAL]
Integration of Programming and Learning in a Control Language for Autonomous Robots Performing Everyday Activities. PhD Thesis. Technische Universität München, 2008. [pdf from HAL]