I’m a Postdoctoral Researcher at the KTH Royal Institute of Technology in Stockholm, Sweden, working with Philipp Schlatter, Ramis Örlü, and Mihai Mihaescu to study curvature and crossflow effects on turbulent flows via extreme-scale direct numerical simulation.

I received my PhD in 2023 under the supervision of Professor Krishnan Mahesh at the University of Minnesota. The focus of my dissertation was the insight that can be extracted from direct numerical simulation (DNS) and large-eddy simulation (LES) of highly complex turbulent flows, including curved turbulent boundary layers, boundary layer trip memory effects, and jets in crossflow. From 2023 to 2025, I was a Senior Scientist at the Research Center Pharmaceutical Engineering in Graz, Austria working on resolving breakup of sub-Kolmogorov-scale droplets.

Explore to find my research highlights and publications!

Research interests

• Fluid dynamics
• Turbulence
• Direct numerical simulation (DNS) and large-eddy simulation (LES)
• High performance computing
• Adaptive mesh refinement algorithms
• Heterogeneous (GPU) computing
• Multiphase flows

Education

PhD in Aerospace Engineering & Mechanics, University of Minnesota, 2023

• Thesis: High-fidelity unstructured overset simulation of complex turbulent flows
• Adviser: Professor Krishnan Mahesh

MS in Aerospace Engineering & Mechanics, University of Minnesota, 2020

BAEM in Aerospace Engineering & Mechanics, University of Minnesota, 2018

• Minors: Math, Astrophysics

Awards

• Invited Paper, Special Issue of Flow, Turbulence and Combustion (2026)
• Best Video, Swedish E-Science Research Centre (SeRC) Annual Meeting, 2026
• Erik Petersohns Memorial Foundation Grant, 2026
• John A. & Jane Dunning Copper Fellowship for Aerospace Engineering & Mechanics, 2019
• Donald & Shirley Gorence Scholarship, 2018
• Robert H. & Marjorie F. Jewitt Fund Scholarship, 2017

Service

• Co-organizer of an international workshop at the Banff International Research Station: Particulates across Scales: Mathematical Modeling, Computation, and Applications
• Reviewer, Journal of Fluid Mechanics and International Journal of Heat and Fluid Flow

Teaching

• Developed and taught recitation exercises for a graduate-level turbulence course and led wind tunnel labs for laminar/turbulent boundary layer theory

Experience

Postdoctoral Researcher (May 2025 - Present)

FLOW, Department of Engineering Mechanics, KTH Royal Institute of Technology

Supervised by Philipp Schlatter, Ramis Örlü, and Mihai Mihaescu

• Performed >10 billion point DNS of a 3D turbulent boundary layer on Europe’s first exascale computer (JUPITER) with the GPU-accelerated spectral element solver Neko
• Analysis of structural characteristics of curved and rotating disk turbulent boundary layers
• Taught and developed exercises for a graduate-level turbulence course

Group Leader for Multiscale CFD (January 2025 - May 2025) and Senior Scientist (August 2023 - May 2025)

Research Center Pharmaceutical Engineering, Graz, Austria

• Led the simulation strategy development for an EU Horizon 2020 project
• Coded a boundary element method from scratch to resolve sub-Kolmogorov-scale droplet breakup
• Implemented an ethanol-water mixture model in OpenFOAM to simulate impingement jet mixing

Graduate Research Assistant (2018 - 2023)

Computational Fluids Lab, Department of Aerospace Engineering & Mechanics, University of Minnesota

Supervised by Krishnan Mahesh

• Large-scale (>10000 processor) large-eddy simulations (LES) and direct numerical simulations (DNS) of complex turbulent flows.
  • LES of axisymmetric turbulent boundary layers
  • LES of appended bodies and junction flows
  • DNS of jets in cross-flow and synthetic jets

Undergraduate Research Assistant (2016 - 2017)

Turbulent Shear Flow Lab, Department of Aerospace Engineering & Mechanics, University of Minnesota

Supervised by Ellen Longmire

• Particle lift-off and tracking in a turbulent boundary layer
  • Development of wax-iron oxide spheres with controllable density and magnetic release system
  • MATLAB image processing to characterize coefficient of restitution versus Stokes number relationship
• Particle image velocimetry