My research interests cover a wide range of topics from the cloud physics to climate dynamics, with the ultimate goal of enhancing our ability to predict future states of the climate system. Towards this goal, I have been focused on a better understanding of the climate phenomena, and an adequate representation of them in our primary tool for prediction: general circulation models (GCMs). My research has involved synergistic combinations of numerical modeling and statistical analysis. Specifically, I have focused on: i) physics of cumulus convection, and ii) global-scale climate variability in the tropics. These two themes, described in detail below, are tightly coupled. My work on climate variability has focused on, but not limited to, the Madden-Julian oscillation (MJO) and the El-Niño southern oscillation (ENSO) phenomenon. These are the primary sources of predictability on the intraseasonal and interannual time scale, respectively.