The Baxandall Lecture 

“Assisted Memories: Have Your cake and Eat It”

Using a simple model for defective memories, Professor Lapidoth shall demonstrate some of Shannon’s key theorems on Data Compression and Channel Coding, which are at the heart of Information Theory. More recent results, which were obtained with Ligong Wang and Yiming Yan, address coding for such memories in the presence of a rate-limited helper that is cognizant of both the data to be stored and the state of the memory cells.

Date: Tuesday, 28 October 2025
Time: 6pm-7pm
Location: The Umney Theatre, Robinson College, Cambridge
Speaker: Professor Amos Lapidoth

Click through to collect your tickets. This event is free and open to the public. 

Speaker bio: Amos Lapidoth received his Ph.D. in Electrical Engineering from Stanford University in 1995. In the years 1995-1999 he was Assistant and Associate Professor at the department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology. He was appointed Professor of Information Theory at ETH (Federal Institute of Technology) Zurich in 1999.

His research interests are in Shannon Theory, Multi-Terminal Information Theory, Digital Communications, and the interplay between Information Theory and Statistics.

The Baxandall Lecture is made possible by a generous gift from Dr Leigh Baxandall (Natural Sciences - Physical, 1979).