Eduardo Rodrigues is member of the Natural Resources group at IBM Research. His area of expertise is High Performance Computing. Currently, he works with Data Analytics and Machine Learning. Particularly, he is interested in efficiently running AI models at scale. Prior to joining IBM, he worked for the Center for Weather Forecast and Climate Studies (CPTEC / INPE) as a research associate, where he developed strategies to scale weather and climate models for large parallel machines.
He earned his PhD in Computer Science (2011) from the Federal University of Rio Grande do Sul (UFRGS). During his PhD, he worked as a visiting scholar at the University of Illinois at Urbana-Champaign. Eduardo also holds a M. Sc. in Applied Computing from the Brazilian Institute for Space Research (INPE) and a B.Sc. in Computer Information Systems from Bahia State University (Uneb).
His area of interest is load balancing, particularly in applications which exhibit dynamic sources of load imbalance.