Marko Vasiljevski

I am a PhD candidate in physics. Previously, I obtained BSc and MSc, both in computational physics, mainly focusing on numerical simulations in the field of statistical physics and electrodynamics.

Over the years I have been accumulating knowledge and experience in data-driven environments across different industries like finance, health, transportation and safety.

More than two years ago, I joined Flight Data Services Ltd. as a flight safety statistician with a strong background in programming and automated data analytics. During the time in the company, I have been helping with the development of algorithms used to analyse data coming from FDRs (Flight Data Recorders, i.e. black boxes) for purposes of flight data monitoring which is mandatory for operators flying in Europe and other parts of the world. Also, we started applying machine learning to flight data across different flights to get better understanding of operational drift in different airlines. To be able to do push the idea further, we recently restructured the company and formed a data science department which I lead. Whilst my work is mainly focused on leading the team’s activities and diagnosing safety issues and crew performance during flights, I am also engaged on maintenance and fuel conservation projects as well as on attending flight safety conferences at which we promote flight data sharing and data-driven reasoning - for the sake of safe flying.

I extremely enjoy in applying knowledge to statistical analysis of multivariate time-series data which is exactly what the black box is about. In this industry it is very hard to have many flights’ data at hand to play with, so I am happy we already have around 4,000,000 flights in the database which is rapidly growing.

I hope this helps. Please, let me know if you want to know more or you want me to shut up and cut something out.