On January 7, 2025, Professor Christian Kästner will give a lecture entitled “From Models to Systems: On the Role of Software Engineering for Machine Learning” at the invitation of the Institute of Computer Science.
Christian Kästner is a professor and director of the Software Engineering PhD program at the School of Computer Science at Carnegie Mellon University. His research focuses primarily on software analysis and the limits of modularity, particularly in the context of highly configurable systems.
This talk is a call for more and better education at the intersection of software engineering and machine learning, as well as for more system-wide research on building software systems with machine learning components. Christian Kästner will argue that a truly system-wide perspective is needed if we are to have any hope of making meaningful progress in terms of security, usability, fairness, or protection when building production systems with machine learning components.
The Institute of Computer Science is opening the Distinguished Lecture series, in which renowned scientists provide insights into their research.
The lecture will take place in lecture hall O2 from 3 p.m.
Further information can be found here. Poster: Download (PDF)
