Rafael Martínez-Galarza is an astrophysicist at the Center for Astrophysics | Harvard & Smithsonian, where he serves as the deputy end-to-end scientist for the Chandra X-ray Center (CXC) Data Systems. His research focuses on multi-wavelength studies of star-forming galaxies, as well as on the use of machine learning techniques for the exploration of large astronomical datasets, specifically with the aim of finding astrophysical transients such as X-ray binaries or tidal disruption events. Before joining the CXC, he was a postdoctoral fellow at the Center for Astrophysics and a teaching fellow at Harvard University’s Institute for Applied Computational Science, where he taught stochastic optimization and machine learning. He has worked as a calibration scientist for the Mid-Infrared Instrument for the James Webb Space Telescope and is currently a member of the LSST science collaboration in transients and variable stars. He holds a PhD in astronomy from Leiden University in the Netherlands.
PhD in Astronomy (Leiden, 2012)