Dr. Gerardo Aquino is a research associate in the Mathematical Biology group led by Andrea Rocco working on stochastic dynamics in cell differentiation, single receptor and cooperative receptors models of cell sensing, using information theory, bayesian inference and both equilibrium and non-equilibrium statistical mechanics approaches. His main research interests fall within the broad areas of decision making in single cells and modelling complex systems in physics and biology.

Non-equilibrium Statistical Mechanics Physics of the Cell and Cell Signaling Complex systems theory Non-ergodic Stochastic Processes Glassy systems Chaotic systems and nonlinear dynamics Quantum Information

L. Vibert, G. Aquino, A. Rocco and R. Kelsh An ongoing role for Wnt signalling in dierentiating melanocytes in vivo.(accepted for publication on Pigment Cell & Melanoma Research (2016).) G. Aquino,N. Wingreen, R. G. Endres Know the single-receptor sensing limit? Think again. Journal of Statistical Physics, Nov. 2015 (available online). G. Aquino*, M. Zapotocky Information transfer through a signaling module with feedback: a perturbative approach Biosystems, 136, 66-72 (2015) G. Micali, G. Aquino, D. Richards, R. G. Endres Accurate encoding and decoding by single cells: amplitude versus frequency modulation PLoS Comp. Bio. 11(6): e1004222 (2015). G. Aquino, L. Tweedy. D. Heindrich, R.G. Endres Memory improves precision of cell sensing in fluctuating environments Sci. Rep. 4, 588 (2014). M. Bologna, G. Aquino* Weakly driven diffusion in nonergodic regime: an analytical solution. Eur. Phys. J. B 87, 15 (2014). G. Aquino**, S. Pageon, K. Lagrue, K. Kohler, R. G. Endres, D. Davis Dynamics of Natural Killer cell receptor by quantitative analysis of photoswitchable protein. Biophys. J. 105, 1-10 (2013). G. Aquino*, M. Bologna, P. Grigolini, B. J. West Transmission of information between complex systems: 1/f resonance. Phys. Rev. E 83, 051130 (2011). G. Aquino*, D. Clausnitzer, S. Tollis and R.G. Endres Optimal receptor-cluster size determined by intrinsic and extrinsic noise. Phys. Rev. E 83, 021914 (2011).