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Statistical Laboratory

Professor Ioannis Kontoyiannis

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 EPSRC, 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 of Information.

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 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; in 2011 he was elevated to the grade of IEEE Fellow; in 2022 he was elected a Fellow of the AAIA; in 2023 he was named a Fellow of the IMS; and in 2024 he was a elected a Fellow of the AIIA.

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

Fellow, Darwin College, Cambridge

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

Publications

Control Variates as Screening Functions
S Kyriazopoulou-Panagiotopoulou, I Kontoyiannis, SP Meyn
– VALUETOOLS 2008 - 3rd International Conference on Performance Evaluation Methodologies and Tools
(2008)
28
(doi: 10.4108/icst.valuetools2008.4242)
Thinning and Information Projections
P Harremoës, O Johnson, I Kontoyiannis
– 2008 IEEE International Symposium on Information Theory
(2008)
2,
2644
(doi: 10.1109/ISIT.2008.4595471)
Identifying Statistical Dependence in Genomic Sequences via Mutual Information Estimates
HM Aktulga, I Kontoyiannis, LA Lyznik, L Szpankowski, AY Grama, W Szpankowski
– EURASIP Journal on Bioinformatics and Systems Biology
(2007)
2007,
14741
(doi: 10.1155/2007/14741)
Statistical Dependence in Biological Sequences
HM Aktulga, I Kontoyiannis, LA Lyznik, L Szpankowski, AY Grama, W Szpankowski
– 2007 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY PROCEEDINGS, VOLS 1-7
(2007)
2676
(doi: 10.1109/isit.2007.4557183)
Fisher Information, Compound Poisson Approximation, and the Poisson Channel
M Madiman, O Johnson, I Kontoyiannis
– 2007 IEEE International Symposium on Information Theory
(2007)
17,
976
(doi: 10.1109/ISIT.2007.4557115)
Thinning and the Law of Small Numbers
P Harremoës, O Johnson, I Kontoyiannis
– 2007 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY PROCEEDINGS, VOLS 1-7
(2007)
2,
1491
(doi: 10.1109/ISIT.2007.4557433)
On estimating the rate-distortion function
M Harrison, I Kontoyiannis
– IEEE International Symposium on Information Theory - Proceedings
(2006)
9,
267
(doi: 10.1109/isit.2006.261847)
Exponential bounds and stopping rules for MCMC and general Markov chains
I Kontoyiannis, LA Lastras-Montão, SP Meyn
– ACM International Conference Proceeding Series
(2006)
180,
45
(doi: 10.1145/1190095.1190152)
Entropy estimation: Simulation, theory and a case study
I Kontoyiannis
– 2006 IEEE Information Theory Workshop, ITW 2006
(2006)
257
Mismatched codebooks and the role of entropy coding in lossy data compression
I Kontoyiannis, R Zamir
– IEEE Transactions on Information Theory
(2006)
52,
1922
(doi: 10.1109/tit.2006.872845)
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Frontpage talks

30
Apr
16:30 - 18:00: Statistics Clinic Easter 2025 I
Cambridge Statistics Clinic
MR5 at the CMS

Research Group

Statistical Laboratory

Email

yiannis@maths.cam.ac.uk

Room

D1.09

Telephone

01223 337961

Personal homepage

https://www.dpmms.cam.ac.uk/~ik355/

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