Julian Candia PhD, MSc

Dr. Julian Candia obtained his Licenciado (1999) and Ph.D. in Physics (2004) degrees from the University of La Plata (Argentina). He earned the 2000 “Dr. Joaquín V. González” award for highest GPA. In subsequent years, he worked on a variety of problems involving computational and mathematical modeling of far-from-equilibrium dynamical systems, as well as on data mining and machine learning.

From 2009 to 2011, he worked for the electronic health record software company Epic Systems. From 2011-2014, he joined the University of Maryland with a joint appointment between the Department of Physics (Losert lab) and the School of Medicine (Civin lab), where he was a recipient of an NIH T32 Cancer Biology Training Grant. Since 2014, he has worked as a Staff Scientist at the National Institutes of Health, where he collaborates with basic, translational, and clinical scientists to develop quantitative methods of data analysis to better leverage state-of-the-art technologies in the biomedical realm.