This article develops a new algorithm named TTRISK to solve high-dimensional risk-averse optimization problems governed by differential equations (ODEs and/or partial [PDEs]) under uncertainty. As an example, we focus on the so-called Conditional Value at Risk (CVaR), but approach is equally applicable other coherent risk measures. Both full and reduced space formulations are considered. The ba...