About Me

I am an Assistant Professor in Fluid Mechanics in the Department of Engineering Mechanics at KTH Royal Institute of Technology in Stockholm, Sweden. I joined KTH in January 2025, where I founded and lead the MultiphysX Flow Lab. I am affiliated with the Swedish e-Science Research Center (SeRC), where I contribute to the SeRC Efficient Simulation Software Initiative, serve on the SeRC management group, and coordinate the FLOW community. I am also a co-PI in the Digital Futures Research Pairs project AI for Clean Energy Conversion: Learning Multiscale Dynamics in Fuel Cell Systems, the FORMAS project UrbExt DT: Digital Twin of Urban Climate Systems, and recipient of the 2026 NVIDIA Academic Grant for research on GPU-accelerated diffusion models for three-dimensional turbulent flow prediction.

My research focuses on developing predictive computational methods for complex interfacial multiphase flows by combining physically consistent mathematical modeling, robust numerical methods, high-performance scientific computing, asymptotic analysis, and scientific machine learning. I develop computational frameworks for high-fidelity simulations of flows involving deformable interfaces, turbulence, heat and mass transfer, phase change, surfactants, contact lines, and other multiphysics phenomena.

A central objective of my research is to bridge high-fidelity simulations and efficient predictive models. I use asymptotic analysis, reduced-order modeling, and scientific machine learning to extract governing structure from complex simulations and enable engineering analysis, optimization, design, and control. My work spans applications in clean-energy conversion and storage, advanced and additive manufacturing, environmental and geophysical flows, and biological and microfluidic systems.

Before joining KTH, I was a Research Associate (2022–2024) and Postdoctoral Scholar (2019–2022) at Stanford University. I received my PhD in Mechanical Engineering from Stanford University in 2019 under the supervision of Professor Ali Mani. My dissertation focused on developing diffuse-interface methods for multiphase flows and applying them to understand microbubble generation during liquid-liquid impact events. I also hold an MS in Mechanical Engineering from Stanford University and a BS in Mechanical Engineering from Sharif University of Technology. In 2018, I received the Gallery of Fluid Motion Award from the American Physical Society Division of Fluid Dynamics for work on microbubble generation.

Personal Interests