Martin Topinka

Martin is a high energy astrophysicist and a machine learning enthusiast. He is mainly interested in gamma-ray bursts and other transients, such as soft gamma-ray repeaters, superovae and the hunt for these transients with space missions and robotic telescopes. He is also a core member of the high-z universe and exoplanet science working groups of JWST.

Martin got his PhD at UCD in Dublin in 2012 working on the search and analysis of high energy transients from INTEGRAL. He continued at UCD as a postdoc being responsible for the Watcher robotic telescope and at ČVUT in Prague in applying machine learning in astrophysics. Later he was back to Dublin where he joint DIAS and worked on JWST software and science. He spent a year at MPA in Garching from the Marie Currie fellowship working on MHD jet simulations.

Nowadays, Martin is at IASF-INAF in Milano focusing to the connection between fast radio bursts and magnetars.

Martin teaches 'Machine learning in Python for astronomers', 'Advanced methods of data analysis' and 'Handbook for advanced Python programmers', assisting 'High Energy Astrophyiscs'.