Raúl Pérez Pelaez

Raul P. Pelaez did his PhD on high-performance simulation of complex fluids at the Universidad Autonoma de Madrid in Rafael Delgado-Buscalioni’s group, in close collaboration with Aleksandard Donev’s group (Courant Institue, New York University). During this time he developed Universally Adaptable Multiscale Molecular Dynamics (UAMMD), a multipurpose, modular GPU software package for nano and microhydrodynamics of suspensions (uammd.readthedocs.io). He is now a Postdoctoral researcher at the Universitat Pompeu Fabra (Barcelona) in Gianni de Fabritiis’ group. RPP acts as a machine learning research director at OpenMM, a popular high-performance, customizable molecular mechanics software package. In this role, he researches high-performance approaches for machine learning-enabled forcefields (neural network potentials) for biomolecular simulations.

Academic Experience 

• Ph.D student, UAM, Spain, 2018 – 2022

• Postdoctoral researcher, NYU, USA, 2021 – 2022

• Postdoctoral researcher, UAM, Spain, 2022

• Research director, Universitat Pompeu Fabra, Spain, 2023 – Present

Academic Background 

• Ph.D. in High performance simulation of complex fluids, UAM, Spain, 2022

• Masters in Nanoscience and Biophysics, UAM, Spain, 2018

• Bachelor in Physics, UAM, Spain, 2016