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The Mittag-Leffler process is introduced. This Markov process has the property that its marginal random variables are Mittag-Leffler distributed with parameter , , and the semigroup of satisfies $T_tf(x)={\mathbb E}(f(x^{e^{-t}}X_t))x\ge 0f:[0,\infty)\to{\mathbb R}X$ are derived, for example an explicit formula for the joint moments of its finite dimensional distributions. The main result states that the block counting process of the Bolthausen-Sznitman -coalescent, properly scaled, converges in the Skorohod topology to the Mittag-Leffler process as the sample size tends to infinity.

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