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Dionysis Manousakas

PhD, Machine Learning, University of Cambridge

Dionysis Manousakas is a recent PhD graduate with expertise in large scale Bayesian inference and differential privacy.

He completed his Dipl.-Ing. in Electrical & Computer Engineering at the National Technical University of Athens, pursued a Master's Degree in Machine Learning with distinction and on the Dean's List at UCL, and earned his Doctor of Philosophy (PhD) in Computer Science from the University of Cambridge.

Dionysis has held various roles at prestigious organizations including being a Research Intern at Max Planck Society, a Supervisor at University of Cambridge, a Research Intern at Nokia Bell Labs, a Research Assistant at University of Cambridge, a Quant at Smartodds, a Data Scientist at Mentat Innovations, and part of the Control Systems Lab at CSL NTUA.

His professional experience and educational background showcase his proficiency in Bayesian inference, differential privacy, machine learning, and control systems engineering.

Dionysis Manousakas
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Location

Greater Cambridge Area