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Statistical Laboratory

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

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 for estimation based on reversible Markov chain Monte Carlo samplers
P Dellaportas, I Kontoyiannis
– Journal of the Royal Statistical Society Series B: Statistical Methodology
(2011)
74,
133
Thinning, entropy, and the law of thin numbers
P Harremoës, O Johnson, I Kontoyiannis
– IEEE Transactions on Information Theory
(2010)
56,
4228
The Entropies of the Sum and the Difference of Two IID Random Variables are Not Too Different
M Madiman, I Kontoyiannis
– 2010 IEEE International Symposium on Information Theory
(2010)
1369
Control Variates for Reversible MCMC Samplers
P Dellaportas, I Kontoyiannis
(2010)
Sparse superposition codes for Gaussian vector quantization
I Kontoyiannis, KR Rad, S Gitzenis
– IEEE Information Theory Workshop 2010 (ITW 2010)
(2010)
1,
1
Compound poisson approximation via information functionals
AD Barbour, O Johnson, I Kontoyiannis, M Madiman
– Electronic Journal of Probability
(2010)
15,
1344
Stochastic Analysis of the $k$-Server Problem on the Circle
A Anagnostopoulos, C Dombry, N Guillotin-Plantard, I Kontoyiannis, E Upfal
– Discrete Mathematics & Theoretical Computer Science
(2010)
DMTCS Proceedings vol. AM, 21st International Meeting on Probabilistic, Combinatorial, and Asymptotic Methods in the Analysis of Algorithms (AofA'10),
Efficient Random Codebooks and Databases for Lossy Compression in Near-Linear Time
I Kontoyiannis, C Gioran
– ITW: 2009 IEEE INFORMATION THEORY WORKSHOP ON NETWORKING AND INFORMATION THEORY
(2009)
236
A Criterion for the Compound Poisson Distribution to be Maximum Entropy
O Johnson, I Kontoyiannis, M Madiman
– 2009 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, VOLS 1- 4
(2009)
1899
Notes on Using Control Variates for Estimation with Reversible MCMC Samplers
I Kontoyiannis, P Dellaportas
(2009)
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Frontpage talks

Cambridge Statistics Clinic

Cambridge Statistics Clinic

Cambridge Statistics Clinic

Statistics

13
Mar
16:00 - 17:00: Title to be confirmed
Peter Whittle Lecture

Research Group

Statistical Laboratory

Room

D1.09

Telephone

01223 337961