Large-scale structures in the ΛCDM Universe: network analysis and machine learning
Tsizh M., Novosyadlyj B., Holovatch Yu., Libeskind N. Mon.Not.Roy.Astr.Soc. – 2020. – V.495, I.1. – P. 1311–1320.
Role: Author
Ph.D.
Maksym's scientific interests include cosmology, dark energy, dark matter, black holes, neutron stars, white dwarfs, solar physics, elementary particle physics, machine learning, information processing, image processing.
Maksym is a researcher in the field of cosmology and astrophysics. He is interested in the application of the latest methods of data processing, such as topological data analysis and machine learning, the study of the universe's large-scale structure and various astrophysical objects.
From 2013 to 2017, Maksym graduated from Ivan Franko National University of Lviv.
Since 2017, he has been a researcher at the Astronomical Observatory of Ivan Franko National University of Lviv.
From 2018 to 2022 — R&D engineer in computer vision and machine learning.