Please join the Department of Informatics and Networked Systems for the next installment of the DINS Seminar Series, featuring Dr. Zachary Lipton of Carnegie Mello University. Dr. Lipton is planning to discuss "Explanationism: A Tonic for all that Ails Machine Learning." He currently serves as Assistant Professor of Machine Learning and Operations Research at CMU.
December 7, 2022
11:00 am to 12 noon
In person -- Room 316 IS Building (Third Floor), 135 North Bellefield Avenue, Pittsburgh, PA 15213 (Refreshments will be served.)
For remote participants: Join Zoom Meeting: https://pitt.zoom.us/j/98866909928
Meeting ID: 988 6690 9928
Bio:
Dr. Zachary Lipton is currently an Assistant Professor of Machine Learning and Operations Research at Carnegie Mellon University (CMU). He holds appointments in the Machine Learning Department in the School of Computer Science (primary), Tepper School of Business (joint), Heinz School of Public Policy (courtesy) and Societal Computing (courtesy). His research spans core ML methods and theory, their applications in healthcare and natural language processing, and critical concerns, both about the mode of inquiry itself, and the impact of the technology it produces on social systems.
At CMU, Dr. Lipton directs the Approximately Correct Machine Intelligence (ACMI) Lab. His lab’s focuses include (i) building robust systems that can cope with a changing world, whether due to natural changes in the environment (so-called natural distribution shifts) or due to the strategic manipulations of other agents keen to influence automated decisions; (ii) understanding the social impacts of machine learning in a philosophically coherent way; (iii) the intersection of representation learning and causality; and (iv) leveraging ML to address impactful questions in clinical medicine. He tends to favor applications involving natural language data, and expect this interest to endure.