<p>Progress in experimental techniques and imaging methods have led to a leap in the understanding of&#160;<br>microscopic transport and swimming mechanisms of motile particles in porous media. This is very different&#160;<br>for the understanding and characterization of large scale transport behaviors, which result from the&#160;<br>interaction of motility with flow and medium heterogeneity, and the upscaling of microscale behaviors.&#160;<br>Only few works have investigated large scale dispersion of active particles in porous media,&#160;<br>which mainly operate in the framework of Brownian dynamics and effective dispersion or&#160;<br>are completely data driven. In this work, we use the particle tracking data of Creppy et al. [1]&#160;<br>to derive the stochastic dynamics of small scale particle motion due to hydrodynamic flow variability&#160;<br>and the swimming activity of bacteria. These stochastic rules are used to derive a&#160;<br>continous time random walk (CTRW) based model for bacteria motion. The CTRW naturally accounts for&#160;<br>persistent advective motion along streamlines [2]. In this framework, particle motility is modeled&#160;<br>through a subordinated Ornstein-Uhlenbeck process that accounts for the impact of rotational diffusion on&#160;<br>&#160;particle motion in the fluid, and a compound Poisson process that accounts for the motion toward and around&#160;<br>grains. The upscaled transport framework can be parameterized by the distribution of the Eulerian&#160;<br>pore velocities, and the motility rules of the bacteria. The model predicts the propagators of the&#160;<br>ensemble of bacteria as well as their center of mass position and dispersion for bacteria transport under different<br>flow rates.&#160;</p><p>[1] A. Creppy, E. Cl&#233;ment, C. Douarche, M. V. D&#8217;Angelo, and H. Auradou. Effect of motility on the transport of bacteria populations through a porous medium. Phys. Rev. Fluids, 4(1), 2019.</p><p>[2]&#160;M. Dentz, P. K. Kang, A. Comolli, T. Le Borgne, and D. R. Lester. Continuous time random walks for the evolution of Lagrangian velocities. Physical Review Fluids, 1(7):074004, 2016.</p>