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Professor Ioannis Kontoyiannis works in information theory, applied probability, statistics, and their applications in neuroscience and bioinformatics. He is also involved in the development of machine learning algorithms. His research has been funded by various organizations including the Engineering and Physical Sciences Research Council (EPSRC), National Science Foundation, European Union, and numerous national and international bodies. Kontoyiannis has extensive consulting experience in the financial, medical, and high-tech industries. He received his B.Sc. degree in Mathematics from Imperial College London in 1992, followed by a distinction in Part III of the Pure Mathematics Tripos at Cambridge University in 1993. He earned his M.S. degree in Statistics in 1997 and his Ph.D. in Electrical Engineering from Stanford University in 1998. Kontoyiannis has held academic positions at institutions such as Purdue University and Brown University, and has also been a Professor at the University of Cambridge since 2018. His notable awards include a Sloan Foundation Research Fellowship and being named Fellow of the IEEE and AAIA. He remains an influential figure in the field of statistics and machine learning.
University of Cambridge • Cambridge, ENG, GB
Head of Signal Processing Communications Laboratory in the Information Engineering Division.
Athens University of Economics and Business •
Worked in the Department of Informatics.
Brown University •
Worked in the Division of Applied Mathematics, Department of Computer Science.
Purdue University •
Worked in the Department of Statistics and Department of Mathematics.
Standard postgraduate requirements for Department of Politics and International Studies (POLIS) and related humanities departments.