Pascal Friederich | Assistant Professor: AI for Materials Science
Karlsruhe Institute of Technology

Pascal Friederich, Assistant Professor: AI for Materials Science, Karlsruhe Institute of Technology

After his B.S. and M.Sc. in physics and a Ph.D. in physics on multiscale modeling of organic semiconductors, Pascal Friederich received a Marie-Sklodowska-Curie Postdoctoral Fellowship at Harvard University and the University of Toronto where he worked on machine learning methods for chemistry. In 2020, Pascal Friederich joined the Informatics Department of the Karlsruhe Institute of Technology as a tenure-track professor, leading the AI for Materials Science (AiMat) research group. The AiMat research group focuses on developing and applying machine learning methods for property prediction, simulation, understanding, and design of molecules and materials, as well as on interfacing machine learning methods with automated materials experiments. In 2022, Pascal Friederich received the Heinz-Maier-Leibnitz Prize from the German Research Foundation.


Day 1 (26th June) @ 14:45

Future opportunities and challenges of machine learning for self-driving labs

The talk will discuss the current state-of-the-art of AI and machine learning methods used in self-driving labs. It will cover examples of recent self-driving labs and outline current challenges and new developments in autonomous data analysis as well as decision-making and optimization methods.

Day 1 (26th June) @ 16:00

Panel: Should we ever delete data?

last published: 17/Apr/24 08:15 GMT

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