About Me
I am a PhD student in Stanford University’s Mechanical Engineering department and an NSF GRFP fellow. I am interested in algorithm design for computational fluid dynamics, especially for modeling high Reynolds number flows. My current research rotation project under the mentorship of Professor Sanjiva K. Lele at Stanford involves using data from detailed simulations of compressible homogeneous isotropic turbulence (CHIT) to train neural network-based subgrid-scale (SGS) models that can be used to improve the predictive ability of fluid dynamics simulations.
I graduated with highest honors from Princeton University with a bachelor’s degree in mechanical and aerospace engineering and a minor in computer science. At Princeton, I explored the computational modeling of many-fluid stream turbulent, nonpremixed combustion using an optimal modeling approach that I conceptualized, derived, and implemented with the guidance of my mentor, Professor Michael E. Mueller. This algorithm generalizes conventional approaches that make asymptotic, a priori assumptions about the mixing processes between each of the fluid streams, and the corresponding novel, on-the-fly simulation strategy that I derived eliminates the need for user expertise when identifying the optimal mixing model in a region of interest. Through this work, I practiced: Linux command-line tools and Bash, distributed version control with Git, typesetting with LaTeX, resource management with Slurm, high-performance computing with Fortran, and data analysis with Python. The first-author conference paper I presented at the 14th U.S. National Combustion Meeting (USNCM) in Boston (March, 2025) along with the abstract for my talk at the 78th APS DFD (Dep. of Fluid Dynamics) conference in Houston (Nov. 2025) and my Princeton senior thesis can be found in my CV below.
Aside from this research project (which has spanned two summers and junior and senior year), I have investigated pollutant formation dynamics for multicomponent fuels in a separate project with Professor Mueller. Through numerical simulation, I found nonlinear (and even non-monotonic) trends in pollutant formation in response to linear changes in fuel composition, which complicates industry applications like the blending of sustainable aviation fuel and traditional jet fuel in aircraft engines to reduce emissions. In a past research project, I have also explored digital communication research, working on the design and Python implementation of a new, geometry-inspired forward error correction technique that can be used in place of conventional, analytical design methods to improve transmission of short messages over complex channels.
I received the Princeton Shapiro Prize for Academic Excellence (awarded to the top ~4% of Princeton class) and was elected to the Phi Beta Kappa, Tau Beta Pi, and Sigma Xi honorary societies. At Princeton, I was involved with Princeton Engineers without Borders (improving access to clean water in Ecuador), Princeton Rocketry’s IREC team (helping design a solid-fuel rocket to reach 30,000 ft., launched in Midland, TX), and the Princeton Undergraduate Research Journal (Princeton’s 1st peer-reviewed, undergraduate academic journal) as the Managing Editor of Peer Review for STEM papers, where I helped coordinate a review board composed of >30 Princeton undergraduates and faculty. I have some volunteer teaching experience, involving designing and teaching classes in probability theory, number theory, and conceptual fluid mechanics to younger students.
My CV and links to my GitHub and LinkedIn can be found on this webpage. Please feel free to get in touch at efe@stanford.edu.
Curriculum Vitae
Contact
- Email: efe@stanford.edu (preferred)
- GitHub: https://github.com/EfeEroz/
- LinkedIn: https://www.linkedin.com/in/efe-eroz/