Michail Mylonakis

Data Scientist, Ph.D.

About


I am from Chania in Greece. I took my diploma in Electrical and Computer Engineering from National Technical University of Athens (NTUA). I hold also a Master in Electrical Engineering and Information Technology from Swiss Federal Institute of Technology (ETH Zurich). I completed my doctoral thesis at KTH Royal Institute of Technology in Stockholm on June 2023, under the supervision of Prof. Mikael Skoglund. My research focused on the computation of the communication requirements in a general enough class of modern Artificial Intelligence (AI) systems. For more details about my research and my thesis, see Publications and Doctoral Thesis. I recently attended the 11-week online program Business Analytics: Decision-Making Using Data of University of Cambridge.

I have a strong background in Probability, Statistics and Data Analysis. I have also a good knowledge of some modern tools of data science, e.g., Python, SQL, R, Matlab. My current interests are summarized as following:

  • the exploration of the limits of the predictive power of Big Data, by combining the depth of the insights that mathematics gives with the opportunities that the modern tools of data science provide, (Data Analytics & Statistics),

  • the systematic investigation of how Data Analytics can contribute to effective Decision-Making, (Decision theory & Decision biases),

  • the application of different concepts and tools from the fields of Data Analytics and Decision-Making for designing robust AI systems, Designing robust AI systems.

In my free time, I love travelling and participating in trail running races. Moreover, I enjoy reading and having discussions about philosophy. My favourite authors, Henri Bergson and Gilles Deleuze have not stopped to inspire me during the years. Awaiting also for the lectures of Henri Bergson, dedicated to the evolution of the problem of freedom, the history of the idea of time and the history of theories of memory, which will be published for the first time in English, (Bloomsbury, 2024, 2025, 2026).

Share



Follow this website


You need to create an Owlstown account to follow this website.


Sign up

Already an Owlstown member?

Log in