Background
Muralikrishnan (Murali) Gopalakrishnan Meena is a Computational Scientist (Fundamental Turbulence) in the Advanced Computing for Life Sciences & Engineering group of the Science Engagement section.
Prior to joining ORNL, Murali obtained his Ph.D. in Mechanical Engineering from the University of California, Los Angeles in 2020. His Ph.D. research focused on using network (graph) theory to characterize, model, and control vortical interactions in turbulence and wake flows. In particular, he introduced a network community-based framework to identify closely interacting vortical elements which were used to formulate reduced-order models and perform flow-modification of complex laminar and turbulent vortical flows. He previously worked as a Graduate Research Assistant during his graduate studies at UCLA and Florida State University.
Murali joined OLCF in 2020 as a Postdoctoral Research Associate at the Advanced Computing for Life Sciences & Engineering group. His research was focused on using machine learning to formulate subgrid-scale turbulence closures for atmospheric flows. He is currently continuing this work and additionally working with the users of the OLCF resources in projects involving complex fluid flows and turbulence. Additionally, he is also using machine learning, graph theory, and other data-driven techniques to characterize and model complex systems in physical and biological sciences. They are targeted at applications like identifying extreme climate events, geophysical flow reconstruction & modeling, development of clustering techniques in graph theory for applications in turbulent flows & geophysical applications, and identifying key interactions in various fungal communities for biofertilizer development and revealing microbe-host interactions.
Outside of work, Murali enjoys sailing, surfing, swimming, and painting.
