{"id":3193,"date":"2024-03-26T15:35:48","date_gmt":"2024-03-26T15:35:48","guid":{"rendered":"https:\/\/lassonde.yorku.ca\/eecs\/?post_type=mec-events&p=3193"},"modified":"2025-05-26T14:13:21","modified_gmt":"2025-05-26T14:13:21","slug":"christian","status":"publish","type":"mec-events","link":"https:\/\/lassonde.yorku.ca\/eecs\/events\/christian\/","title":{"rendered":"Christian K\u00e4stner"},"content":{"rendered":"

AI + SE Seminar Series (January 16, 2025. 10 am – 11 am <\/span>EST).<\/p>\n

From Models to Systems: On the Role of Software Engineering for Machine Learning<\/h3>\n

Building production systems with machine learning components is challenging and many projects fail when moving into production even when showing initial success with training machine-learned models. Unfortunately data science education focuses narrowly on data analysis, machine-learning algorithms, and model building but rarely engages with how the model may be used as part of a system. Engineering aspects beyond deploying models are often ignored or underappreciated, including requirements engineering, user experience design, planning and testing integration with non-ML components, and planning for evolution, leading to poor outcomes in many real-world projects. Software engineers and data scientists often clash in teams due to different goals, processes, and expectations, finding it hard to effectively coordinate and integrate work. In this talk, I argue for the important roles that software engineers have in machine learning projects that want to move beyond a prototype model. I argue that truly a system-wide perspective is needed if we want to have any hope at making meaningful progress on safety, usability, fairness, or security. I explore the common collaboration problems and discuss strategies to overcome them. This talk is a call for more and better education in this space at the intersection of software engineering and machine learning,\u00a0as well as for more system-wide research on building software systems with machine-learning components.<\/p>\n

BIO<\/h3>\n

Christian K\u00e4stner is an associate professor and the director of the Software Engineering PhD program at the School of Computer Science at Carnegie Mellon University. His research originally focused on software analysis and the boundaries of modularity, especially in the context of highly-configurable systems. He also conducts research on sustainability of open source software and communities. His research often used artificial intelligence and machine-learning tools, such as when predicting how configuration options change the performance of a software system or when modeling the benefit of donations in open source projects, though he personally never cared much about machine learning as a topic in itself (and even though unlikely, he wouldn\u2019t mind another AI winter). Since 2019, he regularly co-teaches a new course \u201cMachine Learning in Production\u201d at the intersection of software engineering and machine learning to better prepare the large number of students who, after graduation, start to work on software systems that integrate more and more machine learning (e.g., mobile apps, web applications, IoT devices) — and he has written a textbook on the topic. Since then, he also conducted research on collaboration, documentation, and quality assurance in teams where software engineers and data scientists interact.<\/p>\n

Visit:\u00a0https:\/\/www.cs.cmu.edu\/~ckaestne\/<\/a><\/p>\n

EECS Upcoming Events: https:\/\/lassonde.yorku.ca\/eecs\/eecs-upcoming-events\/<\/a><\/p>\n

Zoom Recording: here<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

AI + SE Seminar Series (January 16, 2025. 10 am – 11 am EST). From Models to Systems: On the Role of Software Engineering for Machine Learning Building production systems with machine learning components is challenging and many projects fail when moving into production even when showing initial success with training machine-learned models. Unfortunately data…<\/p>\n","protected":false},"author":264,"featured_media":3194,"comment_status":"closed","ping_status":"closed","template":"","tags":[],"mec_category":[],"class_list":["post-3193","mec-events","type-mec-events","status-publish","has-post-thumbnail","hentry"],"yoast_head":"\nChristian K\u00e4stner | Electrical Engineering and Computer Science<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/lassonde.yorku.ca\/eecs\/events\/christian\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Christian K\u00e4stner | Electrical Engineering and Computer Science\" \/>\n<meta property=\"og:description\" content=\"AI + SE Seminar Series (January 16, 2025. 10 am – 11 am EST). 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