Muhammad Fahad

Muhammad Fahad is an accomplished scientific programmer and researcher specializing in high-performance scientific computing, particularly in terrestrial systems. Currently holding a position at Forschungszentrum Jülich since November 2020, Muhammad has made significant contributions in porting and optimizing the Parflow hydrologic model for GPU compatibility, co-leading a team focused on multiscale simulation workflows, and developing APIs for data transfer across HPC applications. Muhammad's prior experience includes a research role at University College Dublin, where innovative methodologies for energy consumption measurement in hybrid applications were developed, alongside teaching roles in various programming and computing subjects. Holding a PhD in Computer Science from University College Dublin, as well as advanced degrees from KTH Royal Institute of Technology and Technischen Universität Darmstadt, Muhammad has a solid foundation in software engineering and distributed systems, further enriched by freelance application development and research assistant roles.