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Department of Pure Mathematics and Mathematical Statistics

Professor Kontoyiannis works in information theory, applied probability, and statistics, including their applications in neuroscience, bioinformatics, and the development of machine learning algorithms. His research has been funded by the National Science Foundation, the European Union, Greek national funds, the European Research Council, and numerous other national and international bodies. He has also been involved in consulting work for companies in the financial, medical, and high-tech industries.

He has been with DPMMS since June 2020 as Churchill Professor of Mathematics.

Kontoyiannis was born in Athens, Greece, in 1972. He received the B.Sc. degree in mathematics in 1992 from Imperial College (U of London), and in 1993 he obtained a distinction in Part III of the Cambridge University Pure Mathematics Tripos. In 1997 he received the M.S. degree in statistics, and in 1998 the Ph.D. degree in electrical engineering, both from Stanford University. In 1995 he worked at IBM Research, on a NASA-IBM satellite image processing and compression project.  From 1998 to 2001 he was with the Department of Statistics at Purdue University (and also, by courtesy, with the Department of Mathematics, and the School of Electrical and Computer Engineering). Between 2000 and 2005 he was with the Division of Applied Mathematics and with the Department of Computer Science at Brown University. Between 2005 and 2021 he was with the Department of Informatics of the Athens University of Economics and Business.

Between 2018 and 2020 he was Professor of Information and Communications with the Information Engineering Division of the Engineering Department at Cambridge, where he was also Head of the Signal Processing and Communications Laboratory, and where he remains as an affiliated member.

In 2002 he was awarded the Manning Endowed Assistant Professorship by Brown University; in 2004 he was awarded a Sloan Foundation Research Fellowship; in 2005 he was awarded an Honorary Master of Arts Degree Ad Eundem by Brown University; in 2009 he was awarded a two-year Marie Curie Fellowship; and in 2011 he was elevated to the grade of IEEE Fellow.

Research Fellow, Institute of Applied & Computational Mathematics, Foundation for Research and Technology – Hellas, Greece

Fellow, Darwin College, Cambridge

Affiliated Member, Signal Processing and Communications Group, Division of Information Engineering, Department of Engineering, Cambridge


Simulated Convergence Rates with Application to an Intractable ɑ-Stable Inference Problem
M Riabiz, T Ardeshiri, I Kontoyiannis, S Godsill
– 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
Entropy Bounds on Abelian Groups and the Ruzsa Divergence
M Madiman, I Kontoyiannis
– IEEE Transactions on Information Theory
Exact Speed and Transmission Cost in a Simple One-Dimensional Wireless Delay-Tolerant Network
D Cheliotis, I Kontoyiannis, M Loulakis, S Toumpis
Approximating a diffusion by a finite-state hidden Markov model
I Kontoyiannis, SP Meyn
– Stochastic Processes and their Applications
Estimating the Directed Information and Testing for Causality
I Kontoyiannis, M Skoularidou
– IEEE Transactions on Information Theory
On the $f$-norm ergodicity of Markov processes in continuous time
I Kontoyiannis, SP Meyn
– Electronic Communications in Probability
Optimal Lossless Data Compression: Non-Asymptotics and Asymptotics
I Kontoyiannis, S Verdu
– IEEE Transactions on Information Theory
Sumset and Inverse Sumset Inequalities for Differential Entropy and Mutual Information
I Kontoyiannis, M Madiman
– IEEE Transactions on Information Theory
Lossless Compression with Moderate Error Probability
Y Altug, AB Wagner, I Kontoyiannis
– IEEE International Symposium on Information Theory - Proceedings
Optimal lossless compression: Source varentropy and dispersion
I Kontoyiannis, S Verdu
– IEEE International Symposium on Information Theory - Proceedings
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01223 337961