Daniel Barrejón
PhD in Probabilistic Machine Learning
I'm in the job market! Looking for positions in industry and academia.
I recently finished my PhD in Probabilistic Machine Learning at Universidad Carlos III de Madrid, supervised by Dr. Pablo M. Olmos and Prof. Antonio Artés-Rodríguez from the Signal Processing Group. I also collaborated with the Gregorio Marañon Health Research Institute and eB2.
Research My thesis focused on the bond between deep learning and probabilistic modeling. Specially, I was interested on finding novel solutions to handle common problems in healthcare, such as data wrangling and how to combine human and machine decision making.
Previously I was a research intern at the Amsterdam Machine Learning Lab (AMLab) in the University of Amsterdam where I worked with Eric Nalisnick. I obtained a MSc degree on Mutimedia Communications and a Bsc degree in Telecommunications Engineering at Universidad Carlos III de Madrid.