Dr Coclite is a Post Doc in the Laboratory for Nanotechnology for Precision Medicine research line at IIT, since June 2015.
He works on the development of numerical models for the simulation of micro- and nano-constructs for drugs delivering in capillary flows via Lattice-Boltzmann–Immersed Boundary techniques. His research activity deals with the vascular transport and adhesion mechanics of nano-constructs using Lattice Boltzmann-Immersed Boundary models analyzing their properties in terms of shape, adhesive coating and stiffness.
Dr Coclite achieved in MSc in Theoretical Physics at Università degli Studi di Bari, Aldo Moro in September 2011, presenting a thesis on the validity boundaries of the LBM algorithm in the simulation of a Van Der Waals immiscible vapor-liquid fluid. He suggested a new technique for the discretization of the Laplacian operator considering a 9-points computational molecule (stencil) in order to increase the accuracy of the numerical scheme.
He continued his education at Politecnico di Bari, achieving a PhD in Mechanical Engineering under the supervision of Prof. P. De Palma and Prof. G. Pascazio in 2015. He worked on the development of numerical models for the simulation of non-premixed subsonic and supersonic flame in the FPV framework using a joint-SMLD presumed PDF modeling. During his doctoral period, he co-supervised 5 Bachelor and Master students and covered the role as Teaching Assistant in Advance Turbomachinery and Gas Dynamics. During his PhD, he was a Visiting PhD fellow at TUM - Technische Universität München, which led him to develop numerical models for the simulation scramjet combustion chambers through the Flamelet Progress Variable framework. He returned to Politecnico di Bari for a few months before starting his current position at IIT.
 P. Decuzzi et al. “Nano-Particles in Biomedical Applications”. In: The Springer Handbook of NanoTechnology. Ed. by Bharat Bhushan. Springer-Verlag Berlin Heidelberg, 2017. Chap. 21, p. 1500.
 A. Coclite et al. “A combined Lattice Boltzmann and Immersed boundary approach for predicting the vascular transport of differently shaped particles”. In: Computers & Fluids 136 (2016), pp. 260 –271. issn: 0045-7930. doi: http://dx.doi.org/10.1016/j.compfluid.2016.06.014.
 A. Coclite et al. “Computing supersonic non-premixed turbulent combustion by an SMLD flamelet progress variable model”. In: International Journal of Hydrogen Energy 41.1 (2016), pp. 632 –646. issn: 0360-3199. doi: http : / / dx . doi . org / 10 . 1016 / j . ijhydene .2015 . 10 . 086. url: http : / / www . sciencedirect . com / science / article / pii /S0360319915025835.
 A. Coclite et al. “The role of presumed probability density functions in the simulation of nonpremixed turbulent combustion”. In: EUCASS Proceedings Series 8 (July 2016), pp. 353–374. doi: 10.1051/eucass/201608353.
 A. Coclite et al. “An SMLD Joint PDF Model for Turbulent Non-Premixed Combustion Using the Flamelet Progress-Variable Approach”. In: Flow, Turbulence and Combustion 95.1 (2015), pp. 97–119. issn: 1573-1987. doi: 10.1007/s10494-015-9609-1.
 A. Coclite et al. “Numerical investigation of high-pressure combustion in rocket engines using flamelet/progress-variable models”. In: 53rd AIAA Aerospace Sciences Meeting (2015). doi:10.2514/6.2015-1109.
 L. Laera et al. “Numerical Investigation of Thermo-Acoustic Combustion Instability of High-Pressure Combustion in Rocket Engines”. In: International Society for Air-Breathing Engines Series 22 (Oct. 2015), p. 20206.
 M. Di Renzo et al. “LES of the Sandia Flame D Using an FPV Combustion Model”. In: Energy Procedia 82 (2015), pp. 402 –409. issn: 1876-6102. doi: http://dx.doi.org/10.1016/j.egypro.2015.11.824. url: http://www.sciencedirect.com/science/article/pii/S1876610215025849.
 A. Coclite, G. Gonnella, and A. Lamura. “Pattern formation in liquid-vapor systems underperiodic potential and shear”. In: Phys. Rev. E 89 (6 2014), p. 063303. doi: 10.1103/PhysRevE.89.063303.