Marcin StolarskiMarcin Stolarski was born in 1976, in Warsaw, Poland. He received his Ph.D. degree at Warsaw University of Technology in 2010. His research interests and work are related to space technology, focusing on communication systems, distributed networks and fault tolerant systems. He is the author and co-author of many documents concerning space systems. He works at Space Research Centre, Polish Academy of Sciences in projects like BRITE-PL (first Polish scientific satellites) or STIX (Solar Orbiter experiment for European Space Agency). He worked for Polish space company Astri Polska, where he cooperated in projects such as RecAv (new reconfigurable computer in FPGA technology for space application).

In 2013 he created his own company Marcin Stolarski Laboratory to focus on RF systems using Software Defined Radio technology. In his spare time he popularizes science. He is a winner of the 1st prize in FameLab Poland and winner of the semi-final in FameLab International (FameLab is an international competition which aims to find and support talented science and engineering communicators). In the same year he participated in two months’ scholarship at University of California, Berkeley, Haas School of Business in Top500Innovators training program. When he came back to Poland he designed BikeMic project (system for safe music listening on the bicycle) which can change global bicycling safety and pleasure.

Five most important projects he was involved in:

  • BRITE-PL (first Polish scientific satellites) - Managed BRITE-PL satellites constellation communication systems
  • STIX - Managed and designed STIX Spectrometer/Telescope for Solar Orbiter Mission phase B (European Space Agency project).
  • SACC - Manages and designs Satellite Adaptive Communication Channel based on Software Defined Radio technology (European Space Agency project).
  • RECAV - Managed and designed adaptive fault tolerant computer for space missions based on FPGA technology
  • SPEKTROP - Designed very high speed data acquisition system for hyper-spectral imaging based on FPGA technology